Cloudera CDP Administrator - Public Cloud study plan
Cloudera CDP Administrator - Public Cloud · Give each week a clear focus.
8 weeks · About 7 hours per week
Cloudera CDP administration on public cloud (platform provisioning and cluster management)
Map the CDP Public Cloud control plane versus data plane components and state which service runs where
Walk through creating an environment and a data hub from the management console and record each required input and dependency
Compare the available cluster templates and data hub types and justify a choice for a given workload profile
List the IAM roles, instance profiles and network prerequisites a cloud account needs before onboarding
Your checkpoint
A one-page provisioning checklist covering environment creation, data hub creation and cloud prerequisites, with every input field annotated
Cloudera CDP administration on public cloud (platform provisioning and cluster management)
Practice scaling a data hub up and down and describe what happens to running workloads during each operation
Differentiate stop, start, terminate and delete actions and predict the effect on stored data and on bills
Trace how autoscaling policies and schedule-based scaling interact with queue manager settings
Explain how the CDP CLI and REST API authenticate and script a repeatable environment creation
Your checkpoint
A working CLI script that creates a data hub, scales it, then stops it, plus a short log of observed behavior at each step
Security, authentication, authorization, and governance (SDX)
Describe the SDX architecture: how the datalake cluster, the embedded IDBroker, and the Ranger and Atlas services cooperate
Set up an identity provider federation and explain the difference between the identity provider side and the CDP side of the trust
Configure a machine user and explain when machine users are preferred over human accounts
Walk through enabling Kerberos or an equivalent authentication path on a data hub and note the prerequisites
Your checkpoint
A diagram of the authentication flow from an end user through the identity provider, IDBroker, and a data hub service, with each token or credential labeled
Security, authentication, authorization, and governance (SDX)
Create Ranger policies for HDFS, Hive and a cloud object store and verify enforcement with a test query
Distinguish role-based access control in the management console from Ranger data access control and state which layer wins
Configure a resource-based or tag-based policy and explain how tag inheritance affects the decision
Enable an audit path and locate the authorization decision record for a denied query
Your checkpoint
A policy matrix table showing user, group, resource, tag, and expected allow or deny outcome, validated against actual test results
Security, authentication, authorization, and governance (SDX)
Explain how Atlas lineage is captured and read a lineage graph to find upstream and downstream dependencies
Apply data masking or row filtering in a Ranger policy and confirm the effect on query output
Describe how the datalake cluster's storage and governance services serve multiple data hubs
Identify what breaks in governance when a data hub is detached from its environment
Your checkpoint
A written incident note describing a simulated governance failure, the symptoms, the diagnostic steps, and the fix
Data services, storage, and workload operations
Compare the available compute engines and storage options in CDP Public Cloud and select one for batch, one for interactive, and one for streaming
Create an external table over cloud object storage and explain the difference between managed and external table lifecycle
Configure and run a workload through the workload or job scheduling mechanism and inspect its history
Describe how the data warehouse and data engineering experiences differ in cluster footprint and scaling behavior
Your checkpoint
A runnable end-to-end pipeline: ingest a small file into object storage, query it through a table, and schedule the query, with output captured
Monitoring, observability, troubleshooting, and maintenance
Navigate the monitoring and diagnostic tooling to find the health status of an environment, a data hub, and an individual service
Interpret key metrics for a busy cluster and identify the first signal of resource exhaustion
Collect logs from a service and correlate them with an authorization denial and with a failed job
Configure an alert or notification path for a critical service condition
Your checkpoint
A troubleshooting runbook with three symptom-to-diagnosis-to-fix playbooks, each backed by evidence you collected
Cloudera CDP administration on public cloud (platform provisioning and cluster management) & Monitoring, observability, troubleshooting, and maintenance
Perform a full mock exam and score each domain separately to find the weakest area
Re-drill the two lowest-scoring domains using targeted review rather than full re-reading
Explain the upgrade, patch, and maintenance workflow for a data hub and state the rollback options
Review cost control levers such as scaling schedules, stop policies, and storage tiering
Your checkpoint
A scored mock exam report with a per-domain breakdown and a prioritized list of remaining weak spots with remediation actions
Milestones
Week 2: You can create, scale, and stop a data hub without consulting notes, and you can explain what each action does to data and cost
Week 4: You can design a Ranger policy set from a written access requirement and predict allow or deny outcomes before testing
Week 6: You can run a scheduled query against cloud object storage end to end and explain the table lifecycle you chose
Week 8: Mock exam score is at or above your target, with no domain below the passing threshold on the per-domain breakdown