I85PREP
⌘ K
CISI Technology in Investment Management study materials
CISI Technology in Investment Management study resources

CISI Technology in Investment Management practice questions

One question at a time. Build your CISI Technology in Investment Management understanding.

First 50 of 200 questions. Each one lists the choices, the correct answer, and an explanation. The checker at the top of this page saves progress in this browser when it is available.

Continue in the practice tool above to load more questions, 50 at a time.

Question 1The technology landscape in investment management

In investment management, what does the term 'front office' refer to in the context of technology systems?

  1. The systems providing regulatory reporting and compliance monitoring
  2. The systems handling settlement, reconciliation and custody records
  3. The systems managing payroll, HR and facilities for the firm
  4. The systems supporting portfolio management, trading and research activities Correct answer.

Explanation

The front office covers revenue-generating activities such as portfolio construction, order generation and research, and its technology includes order management and portfolio management systems. Middle and back offices handle compliance, settlement and record-keeping instead.

Question 2The technology landscape in investment management

Which technology is most directly associated with automating the flow of trade orders from a portfolio manager to a broker?

  1. A customer relationship management platform
  2. A general ledger accounting package
  3. An order management system (OMS) Correct answer.
  4. A data warehouse used for regulatory reporting

Explanation

An order management system captures, routes and tracks orders, and typically connects to execution venues and brokers via FIX messaging. It is the core front-office tool for order workflow.

Question 3The technology landscape in investment management

What is the primary purpose of the FIX protocol in investment management?

  1. To regulate the marketing of retail investment funds
  2. To standardise electronic messaging for trade execution and related post-trade communications Correct answer.
  3. To encrypt client data at rest within a data warehouse
  4. To define accounting standards for valuing fixed income securities

Explanation

FIX (Financial Information eXchange) is a messaging standard used to transmit order, execution and related messages electronically between buy-side and sell-side systems. It standardises the format so different firms' systems can interoperate.

Question 4The technology landscape in investment management

A portfolio manager wants to check current holdings and exposures across multiple accounts in near real time. Which system is designed primarily for this purpose?

  1. A fund accounting engine
  2. A trade settlement utility
  3. A market data entitlement platform
  4. A portfolio management system (PMS) Correct answer.

Explanation

A portfolio management system consolidates positions across accounts and provides analytics on holdings and exposures for investment decision-making. Fund accounting and settlement systems serve post-trade and record-keeping needs rather than live portfolio oversight.

Question 5The technology landscape in investment management

What does 'straight-through processing' (STP) mean in a trading operation?

  1. Settling trades on a T+0 basis
  2. Processing a trade electronically from capture to settlement without manual re-keying Correct answer.
  3. Routing all orders to a single broker for execution
  4. Executing trades only during continuous market hours

Explanation

STP describes an automated flow in which trade data passes between systems from order capture through confirmation, clearing and settlement without manual intervention. This reduces errors and processing cost.

Question 6The technology landscape in investment management

Which of the following best describes a 'data warehouse' in an investment management firm?

  1. A central repository that consolidates data from multiple source systems for reporting and analysis Correct answer.
  2. A backup tape archive kept off-site for disaster recovery
  3. A spreadsheet used by a single analyst for modelling
  4. A live trading connection to a stock exchange

Explanation

A data warehouse integrates and stores structured data from various operational systems so that it can be queried consistently for reporting, analytics and regulatory purposes. It differs from live trading links and from individual analyst tools.

Question 7The technology landscape in investment management

In the context of investment management technology, what is 'middle office' primarily responsible for?

  1. Generating investment ideas and executing trades
  2. Trade confirmation, compliance monitoring and risk oversight Correct answer.
  3. Sales and client relationship management
  4. Custody of client assets and safekeeping of securities

Explanation

The middle office acts as a control layer between trading and settlement, covering trade confirmation, compliance checks, risk monitoring and performance measurement. It supports but does not generate trades.

Question 8The technology landscape in investment management

A firm wants to value a large portfolio of illiquid corporate bonds. Which technology limitation most directly affects this task?

  1. Portfolio management systems cannot calculate accrued interest
  2. Order management systems cannot store bond identifiers
  3. Limited availability of reliable market prices for illiquid instruments Correct answer.
  4. FIX protocol does not support fixed income instruments

Explanation

Valuation depends on observable market inputs, and illiquid bonds often lack frequent traded prices, so firms rely on evaluated pricing or models. This is a data availability problem rather than a limitation of OMS or FIX functionality.

Question 9The technology landscape in investment management

Which of the following is the clearest example of an application programming interface (API) being used in investment management?

  1. A trader typing an order into a terminal screen
  2. A custodian sending a PDF statement by email
  3. A compliance officer printing a report for a committee
  4. A portfolio system requesting a daily price feed from a data vendor's service automatically Correct answer.

Explanation

An API allows one system to request data or services from another programmatically, such as pulling prices from a vendor feed into a portfolio system. Manual entry, printing and emailed documents are not API integrations.

Question 10The technology landscape in investment management

What is a key advantage of cloud-hosted portfolio and order management systems over traditional on-premise installations for a small asset manager?

  1. Removal of the need for regulatory record-keeping
  2. Guaranteed lower latency than any on-premise system
  3. Elimination of all cybersecurity obligations
  4. Reduced need for in-house infrastructure and faster deployment Correct answer.

Explanation

Cloud deployment shifts infrastructure management to the provider, allowing smaller firms to deploy without building data centres and to scale more flexibly. Security, latency and record-keeping responsibilities still apply.

Question 11The technology landscape in investment management

In an investment management firm, what role does a 'data steward' typically perform?

  1. Setting central bank interest rates
  2. Approving the firm's annual marketing budget
  3. Executing trades on behalf of portfolio managers
  4. Defining and maintaining data quality standards and ownership for a data domain Correct answer.

Explanation

A data steward is accountable for the quality, definitions and governance of data within an assigned domain, such as securities or client reference data. This supports consistent reporting and reduces reconciliation breaks.

Question 12The technology landscape in investment management

Which technology is most closely associated with detecting potential market abuse by analysing order and trade patterns across venues?

  1. Robotic process automation for invoice matching
  2. Content management systems for marketing material
  3. Automated trade surveillance systems Correct answer.
  4. Straight-through processing engines

Explanation

Trade surveillance systems apply rules and analytics to order and trade data to identify patterns consistent with market abuse, such as spoofing or insider dealing. They sit within the compliance technology stack.

Question 13The technology landscape in investment management

A firm wants to reduce manual effort in reconciling cash positions between its internal records and its custodian. Which technology is most directly suited to this task?

  1. An automated reconciliation platform matching records and flagging exceptions Correct answer.
  2. A research distribution portal
  3. A customer relationship management system
  4. A market data terminal

Explanation

Automated reconciliation tools compare internal and external records, match items and highlight breaks for investigation. This is a post-trade operations technology rather than a front-office or client tool.

Question 14The technology landscape in investment management

What is the main purpose of a reference data management system in an investment management firm?

  1. To execute trades directly on exchanges
  2. To calculate the firm's corporation tax liability
  3. To host the firm's public website
  4. To store and maintain consistent definitions of instruments, counterparties and accounts used across systems Correct answer.

Explanation

Reference data management ensures that static data such as security identifiers, counterparty details and account structures are consistent and accurate across applications. Poor reference data is a common source of trade and reporting errors.

Question 15The technology landscape in investment management

A firm is considering using robotic process automation (RPA) for a repetitive back-office task. Which characteristic makes a process a good candidate for RPA?

  1. The process requires complex human judgement on each case
  2. The process depends on negotiating with counterparties
  3. The process is rules-based, high volume and stable in format Correct answer.
  4. The process involves frequent changes to underlying regulations

Explanation

RPA works best where tasks are deterministic, repetitive and based on structured inputs, so software robots can replicate human keystrokes reliably. Processes needing judgement or negotiation are poor fits.

Question 16The technology landscape in investment management

Which statement best describes the role of a 'golden source' in investment data management?

  1. The oldest database still in production
  2. The most expensive data vendor subscribed to by the firm
  3. The single trusted system designated as the authoritative source for a given data element Correct answer.
  4. The backup system used only during a disaster

Explanation

A golden source is the designated authoritative system for a data element, so that other systems consume consistent values from it. This reduces conflicting data across the firm.

Question 17The technology landscape in investment management

An asset manager uses a distributed ledger to record fund transactions shared with a transfer agent. What is the most significant potential benefit in this context?

  1. Elimination of all counterparty credit risk
  2. Removal of the need for any regulatory oversight
  3. A shared, tamper-evident record that can reduce reconciliation between parties Correct answer.
  4. Guaranteed investment returns for fund holders

Explanation

A distributed ledger provides a shared record that participants can trust, which can reduce duplicated reconciliation and disputes between parties. It does not guarantee returns, remove regulation or eliminate credit risk.

Question 18The technology landscape in investment management

Which of the following best describes 'regtech' in the investment management industry?

  1. Software used exclusively for high-frequency trading
  2. A framework for setting benchmark interest rates
  3. A type of exchange-traded derivative
  4. Technology solutions that help firms meet regulatory obligations more efficiently Correct answer.

Explanation

Regtech refers to technology, often data analytics and automation, applied to compliance and regulatory reporting tasks such as transaction reporting and monitoring. It aims to improve accuracy and reduce compliance cost.

Question 19The technology landscape in investment management

A firm's portfolio managers complain that reports show different total exposure figures depending on which system is queried. Which root cause is most likely?

  1. The firm has too few market data terminals
  2. The firm uses cloud hosting
  3. The trading desks are using FIX messaging
  4. Inconsistent data definitions and sources across systems Correct answer.

Explanation

Divergent figures usually stem from inconsistent definitions, mappings or source systems for the same data element. Establishing common definitions and a golden source addresses this. Terminal count, messaging protocol and hosting model are not the cause.

Question 20The technology landscape in investment management

When selecting a new order management system, why might a firm place significant weight on the system's interoperability and open APIs?

  1. To allow integration with existing execution, risk and settlement systems without costly bespoke links Correct answer.
  2. To guarantee compliance with all local regulations
  3. To avoid the need for user training
  4. To reduce the licence cost of market data subscriptions

Explanation

Interoperability and open APIs allow the OMS to connect with other systems through standard interfaces, lowering integration effort and future change costs. They do not by themselves reduce data costs, remove training needs or guarantee compliance.

Question 21The technology landscape in investment management

A firm moves its trade processing to a third-party cloud provider. Which governance arrangement best addresses the associated operational risk?

  1. Formal due diligence, contractual service levels and ongoing monitoring of the provider Correct answer.
  2. Relying on the provider's standard terms without review
  3. Transferring all regulatory accountability to the provider
  4. Disabling internal audit activity for the outsourced function

Explanation

Outsourcing to a cloud provider requires due diligence, clear contractual service levels, exit arrangements and continuous oversight by the regulated firm. Accountability for regulatory obligations remains with the firm.

Question 22The technology landscape in investment management

Which scenario best illustrates the risk of 'automation bias' in an investment operations team using a reconciliation tool?

  1. The tool is upgraded to a newer software version
  2. The tool flags an unusually large number of breaks for investigation
  3. Staff receive training on how to configure matching rules
  4. Staff accept the tool's automatic matches without checking a suspicious exception Correct answer.

Explanation

Automation bias is the tendency to over-trust automated outputs, so staff may fail to challenge results that warrant scrutiny. Accepting matches without checking a suspicious exception is a clear example of this risk.

Question 23The technology landscape in investment management

A firm wants to apply natural language processing to thousands of broker research reports to extract sentiment signals. Which limitation is most important to manage?

  1. The inability to process more than ten documents
  2. Model accuracy and the risk of misinterpreting context or sarcasm Correct answer.
  3. The reports cannot be stored digitally
  4. The absence of any text data to analyse

Explanation

NLP models can misread context, negation or tone, producing unreliable sentiment signals, so validation and human oversight are needed. The other options describe constraints that do not reflect typical modern text analytics.

Question 24The technology landscape in investment management

An investment firm is designing a data architecture to support both real-time trading decisions and end-of-day regulatory reporting. Which approach best meets both needs?

  1. Combining streaming data pipelines for real-time needs with a governed warehouse for reporting Correct answer.
  2. Storing all data only in individual traders' spreadsheets
  3. Using only a batch data warehouse refreshed overnight for all purposes
  4. Relying solely on the custodian's reports for both functions

Explanation

Real-time trading needs low-latency streaming data, while regulatory reporting needs governed, consistent historical data, so a hybrid architecture serves both. A single batch-only or personal-spreadsheet approach cannot meet real-time needs reliably.

Question 25Data management, data quality and governance

A trading desk needs sub-second order confirmations, while the compliance team queries the same trades months later for best-execution reviews. Which data management concept best explains why both needs can be met by a single well-governed platform?

  1. Storing only end-of-day snapshots for all consumers
  2. A single flat file store shared by all users
  3. Tiered storage and retention policies applied per data class Correct answer.
  4. Deleting order data once the trade settles

Explanation

Different consumers impose different latency, retention and access requirements on the same underlying records. Tiered storage with class-based retention lets hot transactional data stay fast while older data is retained cheaply for regulatory review. A single flat store or snapshot-only approach would fail one of the two requirements.

Question 26Data management, data quality and governance

Under a data governance framework, which artefact formally names the individual accountable for the accuracy and fitness for purpose of a specific data set?

  1. The data owner designation Correct answer.
  2. The disaster recovery plan
  3. The change advisory board minutes
  4. The network topology diagram

Explanation

Data ownership assigns accountability for a data domain to a named role, typically the data owner, who is answerable for quality and appropriate use. Stewardship may then delegate day-to-day curation, but accountability sits with the owner. The other artefacts describe resilience, change control and infrastructure, not accountability for data.

Question 27Data management, data quality and governance

A reference data team discovers that the same security carries two different issuer identifiers in the securities master. Which data quality dimension is most directly compromised?

  1. Completeness
  2. Accessibility
  3. Timeliness
  4. Consistency Correct answer.

Explanation

Consistency concerns whether the same fact is represented identically across systems and records. Two conflicting issuer identifiers for one security is a direct inconsistency. Timeliness concerns currency of data, completeness concerns missing values, and accessibility concerns availability to authorised users.

Question 28Data management, data quality and governance

Which control is most effective at catching a corporate action such as a stock split being applied only to the portfolio accounting system and not to the order management system?

  1. A nightly reconciliation of positions and reference data across systems Correct answer.
  2. A firewall rule review
  3. Annual user access recertification
  4. A quarterly review of the disaster recovery plan

Explanation

Cross-system reconciliation compares records held in different platforms and flags divergences such as an event applied in one place but not another. Access recertification, firewall reviews and DR plan reviews address authorisation, perimeter security and resilience respectively, none of which detects inconsistent data.

Question 29Data management, data quality and governance

A firm wants to trace how a portfolio valuation figure was produced, from the raw price feed through each transformation to the reported number. Which capability delivers this?

  1. Data sampling
  2. Data masking
  3. Data lineage Correct answer.
  4. Data archiving

Explanation

Data lineage records the origin and transformation path of a data element, so a reported figure can be traced back through each processing step. Masking obscures sensitive values, archiving moves data to long-term storage, and sampling inspects a subset rather than full provenance.

Question 30Data management, data quality and governance

A regulator asks an investment manager to demonstrate that the prices used for client valuations were independently verified. Which governance arrangement most directly supports this?

  1. Using the previous day's prices whenever the feed is delayed
  2. A documented pricing hierarchy with independent price verification and retained evidence Correct answer.
  3. Relying solely on the valuation produced by the front-office system
  4. An informal agreement that traders check prices when convenient

Explanation

A documented pricing hierarchy sets the order of sources and fallbacks, and independent price verification provides a second check with retained evidence. This creates an auditable trail showing how valuations were validated. Informal checks, single-source reliance and stale prices cannot demonstrate independent verification.

Question 31Data management, data quality and governance

In a data quality framework, what is the primary purpose of defining a tolerance threshold for a completeness check?

  1. To remove the need for any manual review of data
  2. To guarantee that no data errors can ever occur
  3. To replace the data owner's accountability
  4. To specify the acceptable error rate before an exception is raised and escalated Correct answer.

Explanation

Thresholds convert a measurement into a decision rule: within tolerance the data may proceed, beyond it an exception is raised and escalated. They do not eliminate errors, remove the need for review, or transfer accountability away from the data owner.

Question 32Data management, data quality and governance

An investment firm holds client identity documents and trade records in the same database. Which practice best supports the principle of data minimisation?

  1. Limiting collection and retention to what each defined business or regulatory purpose requires Correct answer.
  2. Allowing all staff unrestricted query access to the database
  3. Collecting every available field in case it becomes useful later
  4. Retaining all records indefinitely to avoid deletion decisions

Explanation

Data minimisation requires that only data necessary for specified purposes is collected and kept. Purpose-linked limits on collection and retention achieve this, whereas hoarding fields, indefinite retention and broad access all increase exposure and conflict with the principle.

Question 33Data management, data quality and governance

A data steward notices that instrument ratings from an external vendor arrive with a timestamp two days behind the agreed service level. Which data quality dimension should this be recorded against?

  1. Timeliness Correct answer.
  2. Uniqueness
  3. Validity
  4. Accuracy

Explanation

Timeliness measures whether data is available when required, so lateness against an agreed service level is a timeliness defect. Accuracy concerns correctness of values, uniqueness concerns duplication, and validity concerns conformance to defined formats or rules.

Question 34Data management, data quality and governance

Which statement best describes the role of a data dictionary in an investment management data environment?

  1. It stores the actual market prices used for valuation
  2. It lists the staff permitted to trade on behalf of clients
  3. It records the network addresses of trading servers
  4. It defines the meaning, format and permitted values of data elements Correct answer.

Explanation

A data dictionary is a metadata artefact describing each data element, including its definition, format and permitted values, which supports consistent interpretation across systems. It does not hold market prices, network addresses or trading permissions.

Question 35Data management, data quality and governance

A portfolio manager challenges a risk report because the underlying position data was corrected after the report was generated. Which control would most directly prevent recurrence?

  1. Shortening the password rotation period
  2. Versioning of data sets with effective dates and controlled restatement of reports Correct answer.
  3. Adding more firewalls around the reporting server
  4. Increasing the frequency of user access reviews

Explanation

Versioning with effective dates allows a report to be tied to the exact data version used and supports controlled restatement when corrections occur. Access reviews, firewalls and password policies address security rather than the integrity of reporting against changing data.

Question 36Data management, data quality and governance

What is the main governance risk of allowing business users to build local spreadsheets that combine data from multiple official systems?

  1. The official systems will automatically delete their own data
  2. The spreadsheets will always be slower than the official systems
  3. Spreadsheets cannot store numerical data reliably
  4. Uncontrolled copies create divergence, obscure lineage and evade central quality controls Correct answer.

Explanation

Locally built spreadsheets create uncontrolled data copies whose lineage is unclear and which sit outside central quality and change controls, so errors and divergences can persist unnoticed. Performance, numeric storage and automatic deletion are not the governance concern.

Question 37Data management, data quality and governance

Under a data governance operating model, what distinguishes a data steward from a data owner?

  1. Both roles are purely advisory with no defined responsibilities
  2. The steward is always an external vendor and the owner is always internal
  3. The steward holds legal accountability while the owner performs daily curation
  4. The owner holds accountability for the domain while the steward performs day-to-day curation Correct answer.

Explanation

Accountability for a data domain rests with the data owner, who is answerable for quality and use. The data steward carries out day-to-day activities such as profiling, issue triage and documentation on the owner's behalf. Both roles carry defined responsibilities and are not defined by being external.

Question 38Data management, data quality and governance

A firm applies a rule that every trade record must carry a valid legal entity identifier that matches an approved reference list before it can be reported. Which data quality dimension does this rule most directly enforce?

  1. Timeliness
  2. Validity Correct answer.
  3. Redundancy
  4. Volume

Explanation

Validity checks that values conform to an agreed format or approved domain, so requiring a legal entity identifier that matches an approved reference list is a validity control. Timeliness concerns currency, while volume and redundancy are not standard quality dimensions in this sense.

Question 39Data management, data quality and governance

An asset manager wants to demonstrate to its board that data quality is improving over time. Which approach provides the most meaningful evidence?

  1. Tracking data quality metrics against defined thresholds over successive periods Correct answer.
  2. Recording the total number of database tables in the estate
  3. Reporting the annual IT budget
  4. Counting the number of staff who attended data training once

Explanation

Trended quality metrics measured against thresholds show whether defect rates and conformance are improving, which is direct evidence of quality performance. Training attendance, table counts and budget figures describe inputs or scale rather than outcomes.

Question 40Data management, data quality and governance

Which of the following best describes master data management in an investment firm?

  1. The process of archiving transaction logs for seven years
  2. The controlled creation and maintenance of core shared entities such as securities, counterparties and clients Correct answer.
  3. The scheduling of overnight batch jobs
  4. The encryption of data at rest across all servers

Explanation

Master data management governs the core shared entities that many systems depend on, ensuring each has a single trusted definition and controlled maintenance. Archiving, encryption and batch scheduling are separate operational or security activities.

Question 41Data management, data quality and governance

A firm discovers that a vendor feed occasionally overwrites a valid field with a blank value. Which control design would detect this most reliably?

  1. A completeness check that flags null values in mandatory fields before loading Correct answer.
  2. A quarterly user satisfaction survey
  3. A firewall rule blocking the vendor's IP address
  4. An increase in the password length requirement

Explanation

A completeness check on mandatory fields detects nulls introduced by the feed before the data is loaded, allowing rejection or quarantine. Network blocking, surveys and password rules do not inspect the content of incoming records.

Question 42Data management, data quality and governance

Which scenario best illustrates a breach of the segregation principle in data governance?

  1. An analyst queries a reporting data mart under an approved role
  2. A data owner approves a new data quality rule for their domain
  3. The same team both produces a valuation and independently signs it off as verified Correct answer.
  4. A data steward documents field definitions in the data dictionary

Explanation

Segregation requires that the party producing a figure is not the sole party confirming its correctness, so a team producing and signing off its own valuation lacks independent challenge. The other scenarios are normal governed activities with appropriate role separation.

Question 43Data management, data quality and governance

What is the principal purpose of a data quality issue log within a governance framework?

  1. To record identified defects, their ownership, root cause and remediation status Correct answer.
  2. To list the personal contact details of all employees
  3. To store the firm's marketing materials
  4. To replace the need for data profiling tools

Explanation

An issue log provides a structured record of data defects with assigned owners, root cause analysis and remediation tracking, supporting accountability and trend analysis. It is not a marketing repository, does not substitute for profiling tools, and should not hold unrelated personal data.

Question 44Data management, data quality and governance

A firm is designing controls for data received from a new third-party ESG data provider. Which combination best reflects a sound governance approach?

  1. Define data quality expectations in the contract, profile the data on receipt and monitor it against thresholds Correct answer.
  2. Accept the data as delivered and rely on the vendor's reputation
  3. Load the data directly into client reports without validation
  4. Store the data only in local spreadsheets maintained by individual analysts

Explanation

Third-party data should be governed through contractual quality expectations, receipt-based profiling and ongoing monitoring against thresholds, creating evidence of control. Relying on reputation, skipping validation or holding data in uncontrolled spreadsheets leaves the firm unable to demonstrate quality.

Question 45Data management, data quality and governance

Which statement correctly distinguishes structured from unstructured data in an investment management context?

  1. Structured data can only be stored in spreadsheets
  2. Unstructured data cannot be governed by any policy
  3. Unstructured data is always more accurate than structured data
  4. Structured data has a defined schema, whereas unstructured data such as email or research documents does not Correct answer.

Explanation

Structured data conforms to a defined schema, such as trade and position records in a database, while unstructured data such as emails and research documents lacks a fixed schema. Accuracy is not determined by structure, structured data lives in many store types, and unstructured data can still be governed.

Question 46Data management, data quality and governance

A regulator requests evidence that access to client data is limited to those with a genuine business need. Which control most directly provides this evidence?

  1. Daily backup verification
  2. Annual penetration testing of external systems
  3. Periodic access reviews with documented business justification for each grant Correct answer.
  4. Monthly review of network bandwidth usage

Explanation

Access reviews test whether each permission is still justified by a documented business need, producing evidence of least-privilege enforcement. Penetration testing, backup verification and bandwidth monitoring address different risks and do not evidence need-to-know access.

Question 47Data management, data quality and governance

Why is a documented data taxonomy valuable when a firm is implementing a new regulatory reporting obligation?

  1. It guarantees the regulator will accept the report without review
  2. It automatically corrects inaccurate source data
  3. It removes the need to identify data owners
  4. It provides a common classification of data so that report requirements can be mapped to existing sources Correct answer.

Explanation

A taxonomy classifies data into agreed categories, which allows new reporting requirements to be mapped to known sources and owners efficiently. It does not guarantee regulatory acceptance, does not remove the need for owners, and does not itself remediate data errors.

Question 48Data management, data quality and governance

Which practice best supports the auditability of a data transformation applied within a reporting pipeline?

  1. Relying on the developer's memory of what the code does
  2. Documenting the transformation logic, its version and the approver, and retaining the input and output records Correct answer.
  3. Deleting intermediate data immediately to save space
  4. Allowing analysts to modify transformation code directly in production without review

Explanation

Auditability requires that the logic, its version and its approval are documented, with input and output records retained so results can be reproduced and challenged. Unreviewed production changes, undocumented knowledge and deletion of intermediate data all break the audit trail.

Question 49Trading and order management systems

In an order management system, which identifier is assigned to an order when it is first captured and remains unchanged as the order is routed to multiple venues?

  1. The execution ID returned by the first venue
  2. The internal order ID generated by the OMS at capture Correct answer.
  3. The settlement reference from the custodian
  4. The trader's user login code

Explanation

The OMS assigns an internal order identifier at capture, and that identifier persists while child executions and venue acknowledgements carry their own separate references. Execution IDs and settlement references belong to downstream stages and cannot serve as the stable parent order key.

Question 50Trading and order management systems

A buy-side firm wants an order to be sent to a broker only after a compliance check on restricted securities has passed. Which OMS component enforces this sequencing?

  1. The market data entitlement service
  2. The pre-trade compliance module within the order workflow Correct answer.
  3. The corporate actions processing engine
  4. The post-trade allocation engine

Explanation

Pre-trade compliance checks sit in the order workflow before release, so a failing check blocks the order from being routed. Post-trade allocation, entitlements and corporate actions operate at other stages and cannot gate order release.