IBM Cloud Pak for Data V4.x Data Engineer Practice Exam: Test Your Knowledge 2025

What is the primary purpose of the Common Core Services layer in Cloud Pak for Data architecture?

A data engineer needs to design a DataStage job that reads from multiple heterogeneous sources, transforms the data, and loads it into a data warehouse. Which DataStage component should be used to handle parallel processing of large data volumes efficiently?

In Watson Knowledge Catalog, what is the primary function of data protection rules?

A company wants to provide business users with access to data from Oracle, DB2, and MongoDB databases without physically moving or replicating the data. Which Cloud Pak for Data component should they implement?

Which deployment architecture pattern is recommended for Cloud Pak for Data when high availability and disaster recovery are critical requirements?

A DataStage job is experiencing performance degradation when processing 500 million records. The job uses a Join stage with a large reference dataset. What optimization technique should the data engineer apply?

What is the purpose of business glossary terms in Watson Knowledge Catalog?

When creating a virtualized view in Data Virtualization that joins tables from three different database sources, what performance consideration is most critical?

A data engineer is designing a metadata import strategy for Watson Knowledge Catalog. The organization has tables in multiple databases with varying structures. Which approach provides the most comprehensive metadata discovery?

In Cloud Pak for Data, which component is responsible for providing the container orchestration and resource management infrastructure?

A DataStage job needs to handle incremental loads from a source system that provides a last-modified timestamp. What design pattern best implements this requirement?

What is the relationship between data classes and data protection rules in Watson Knowledge Catalog?

A business analyst needs to create a self-service report using data from virtualized tables in Data Virtualization. Which Cloud Pak for Data capability enables this?

When configuring connections in Cloud Pak for Data, what is the primary benefit of storing connection credentials in a vault service?

A data engineer needs to implement slowly changing dimension (SCD) Type 2 logic in a DataStage job. Which approach correctly maintains historical records?

In a multi-tenant Cloud Pak for Data environment, what mechanism ensures proper isolation and resource allocation between different projects and users?

A DataStage parallel job is reading from a database table with 100 million rows. The job has four nodes available. What partitioning method should be used to ensure even distribution of data across nodes when the table has a well-distributed numeric customer_id column?

When implementing data quality rules in Watson Knowledge Catalog, what happens when a data quality rule fails during execution?

A data engineer needs to optimize a complex Data Virtualization query that joins five tables from different sources and applies multiple filters. The query is timing out. What is the most effective optimization strategy?

In a DataStage job that processes real-time data feeds, what design consideration is most important for ensuring fault tolerance and recoverability?