IBM Certification Big Data Architect 4

Question 1

Which IBM solution is designed for in-database analytics, executing advanced analytics algorithms directly within the Db2 Warehouse engine?

Accepted Answer

IBM Db2 Warehouse in-database analytics

Answer

Db2 Warehouse supports in-database analytics that run algorithms inside the database engine, eliminating data movement overhead.

Question 2

A Big Data Architect needs to choose between row-based and columnar storage for an analytical workload scanning millions of rows for aggregations. What is the recommended choice?

Accepted Answer

Columnar storage because it reads only relevant columns and compresses efficiently

Answer

Columnar storage reads only the columns involved in a query and achieves high compression ratios, making analytical aggregations significantly faster.

Question 3

In IBM Event Streams (Apache Kafka), what does the consumer group concept enable?

Accepted Answer

Parallel consumption of topic partitions across multiple consumers

Answer

Consumer groups allow multiple consumer instances to divide topic partitions among themselves, enabling parallel and scalable message processing.

Question 4

When applying the Kappa architecture as an alternative to Lambda on IBM platforms, what is the key simplification?

Accepted Answer

Processing all data through a single streaming pipeline, removing the batch layer

Answer

Kappa architecture removes the batch layer entirely, reprocessing historical data by replaying the stream through the same real-time pipeline.

Question 5

An IBM Big Data Architect is evaluating graph databases for a fraud detection use case. Which IBM-ecosystem graph solution is most directly applicable?

Accepted Answer

IBM Graph (JanusGraph on IBM Cloud)

Answer

IBM Graph, built on JanusGraph, is designed for traversing highly connected datasets and is well-suited to fraud detection relationship analysis.

IBM Certification Practice Test

IBM Certification Practice Test

IBM Certification Big Data Architect 4