Dataiku Developer Certification study materials
Dataiku Developer Certification study resources

Dataiku Developer Certification study guide

Dataiku Developer Certification · Work through your exam, one topic at a time.

This independent study page provides practice for Dataiku Developer Certification. Its editorial learning areas include Dataiku code recipes, datasets, environments and extension boundaries; Dataiku scenarios, variables, bundles and API-service deployment; Python and dataframe reasoning for applied analytics; Intelligent search, learning and evaluation; Data, Databases, and Information Retrieval; Identity, access and cryptographic protection; Security operations, monitoring and response; Continuity, backup and technical recovery. The Dataiku Developer Certification study guide has 8 sections and about 4,577 words.

01

Dataiku code recipes, datasets, environments and extension boundaries

A Dataiku recipe represents a declared transformation between relevant inputs and outputs. An exploratory notebook and a reproducible Flow step serve different purposes.

370 words, about 2 min
02

Dataiku scenarios, variables, bundles and API-service deployment

A scenario can evaluate configured trigger conditions, execute controlled steps and report relevant outcomes. A trigger becoming true does not establish that every downstream build completed or that a business result is correct.

376 words, about 2 min
03

Python and dataframe reasoning for applied analytics

Python analytics uses language objects alongside libraries that define additional array and dataframe behavior. Lists, tuples, dictionaries and sets have different ordering, mutability and access properties.

366 words, about 2 min
04

Intelligent search, learning and evaluation

Artificial intelligence questions should distinguish a search problem, a learned predictive model and a rule-based decision process. A system does not become reliable simply because it is described as intelligent.

416 words, about 2 min
05

Data, Databases, and Information Retrieval

Data questions move from raw facts to organized, queryable information. In the relational model, tables have rows (records) and columns (attributes); keys enforce identity and relationships.

659 words, about 3 min
06

Identity, access and cryptographic protection

This domain tests the identity lifecycle and the mechanisms that turn an identity into an authorised action. Expect questions that separate authentication from authorisation and that ask which access control model fits a scenario.

857 words, about 4 min
07

Security operations, monitoring and response

This domain is about running security as a repeatable service rather than a series of heroic acts. Questions target process ownership, change control and the operational metrics that show the programme is working.

803 words, about 4 min
08

Continuity, backup and technical recovery

This domain tests continuity planning: how an organisation keeps critical services running during disruption and how it recovers afterwards. Distinguish the continuity plan from the disaster recovery plan and know the time-based metrics precisely.

730 words, about 4 min