IBM Cloud Pak for Data V3.x Data Engineer Practice Exam 2025: Latest Questions

A data engineer needs to understand which Cloud Pak for Data component provides the shared platform services used by multiple data services (for example, authentication, configuration, and common UI integration). Which component is responsible for these shared capabilities?

A team needs to regularly ingest new CSV files from an object storage bucket and load them into a relational table with minimal coding. They also want basic mapping and scheduling. Which Cloud Pak for Data capability best fits this requirement?

A governance lead wants data consumers to easily discover and understand datasets by using consistent business terminology (for example, defining what "Active Customer" means). Which feature should be used?

A user needs to run SQL queries that join tables from multiple remote databases without copying the data into Cloud Pak for Data storage. Which approach should they use?

A project requires a nightly pipeline that (1) ingests customer records, (2) standardizes address fields, and (3) rejects records that fail required-field checks before loading a curated table. Which design is most appropriate?

A data engineer is designing access for governed datasets in a catalog. They want users to request access and have approvals tracked, ensuring only approved users can view the assets. Which capability best supports this workflow?

A DataStage job runs successfully but loads duplicate records into a target table after a rerun. The requirement is to make the pipeline rerunnable without duplicating previously loaded data. Which approach is the best practice?

A team uses Data Virtualization and notices some queries are slow when joining large remote tables. They want to improve performance while still minimizing data movement. What is a common optimization strategy?

After a platform certificate rotation, multiple services in Cloud Pak for Data show authentication errors and some pods repeatedly restart. What is the most appropriate first troubleshooting action for an operator-level data engineer?

An organization must enforce separation of duties: platform administrators manage the installation and services, while data engineers can create pipelines and manage project assets without cluster-admin privileges. Which design best supports this requirement in Cloud Pak for Data?

A data engineer must allow analysts to access curated datasets in Cloud Pak for Data without giving them direct credentials to the underlying database. Which approach best meets this requirement?

A project team needs to ensure that only approved business terms are used when publishing new datasets to the catalog, and that each dataset is classified with a sensitivity level. Which Cloud Pak for Data capability best supports this?

A DataStage job is scheduled to run nightly. The run completes successfully, but the target table has fewer rows than expected. What is the best first step to confirm whether records were intentionally filtered during the ETL?

A company wants to bring data from multiple sources into a curated layer. The pipeline must support complex transformations, lookups, and slowly changing dimensions with robust operational controls. Which tool is the best fit in Cloud Pak for Data?

A team uses Data Virtualization to query multiple sources. Users report slow performance for a frequently used query that joins two remote sources. Which action is most likely to improve performance while keeping the same DV interface for users?

A governance lead wants to ensure that a 'PII' classification automatically triggers masking rules when data is accessed through governed services. Which approach aligns best with Cloud Pak for Data governance practices?

A DataStage flow must load a target table so that either all rows for the batch are committed or none are (to avoid partial loads). Which design choice best ensures this behavior?

A data engineer needs to publish a dataset to the catalog, but it must include technical metadata (schemas, column types) and business context (owner, description, glossary terms). Which combination best meets the requirement?

After a cluster upgrade, a data engineer notices intermittent failures when connecting to an external data source from DataStage and notebooks. The error indicates TLS handshake issues. What is the most likely fix within Cloud Pak for Data architecture practices?

A team wants to virtualize data from multiple sources, but some source systems cannot handle the query load generated by many concurrent DV users. They also need near-real-time freshness (not just nightly). Which solution best balances source protection and freshness?

A data engineer is asked to design a secure way for multiple Cloud Pak for Data services (for example, DataStage and Watson Knowledge Catalog) to access the same object storage location without embedding long-lived credentials in jobs. What is the recommended approach?

A team uses DataStage to load data into a target database. Occasionally, the job fails due to transient network issues, and reruns create duplicate rows in the target. What is the best practice to make the load idempotent?

A governance lead wants business terms in a glossary to be automatically suggested for new data assets as they are cataloged, helping users find datasets by common terminology. Which capability should be enabled/configured in Watson Knowledge Catalog to support this?

A data engineer creates multiple virtual tables in Data Virtualization that join across heterogeneous sources. Query performance is inconsistent, and the engineer suspects poor join ordering and limited predicate pushdown. What is the most appropriate first action?

After a platform upgrade and certificate rotation, several CP4D data services intermittently fail when connecting to internal endpoints. Pod restarts show TLS handshake errors, but the services become healthy again after manual restarts. What is the most likely root cause?