Data Warehousing on AWS Training Data Warehousing on AWS: Trends, Network And Critical Thinking 3

Question 1

A business analyst reports that their Redshift queries are running slower than expected. After investigation, you find that table statistics are outdated. Which command resolves this?

Accepted Answer

ANALYZE

Answer

The ANALYZE command updates table statistics used by the query planner, enabling it to generate optimal execution plans.

Question 2

Which Redshift feature allows you to query data directly in Amazon S3 without loading it into the cluster, representing a key trend toward data lake integration?

Accepted Answer

Redshift Spectrum

Answer

Redshift Spectrum extends SQL queries to exabytes of unstructured data in S3, integrating data warehouse and data lake queries in a single statement.

Question 3

A company's Redshift cluster experiences high concurrency from BI users. Queries from the executive team are being queued behind analyst queries. What should be configured?

Accepted Answer

Workload Management (WLM) queue with priority lanes for executive users

Answer

WLM allows you to define separate queues with different priorities and resource allocations, ensuring high-priority queries are not starved by lower-priority workloads.

Question 4

Which critical thinking consideration explains why columnar storage is better than row storage for analytical workloads?

Accepted Answer

Column storage reduces I/O by reading only the columns needed for a query

Answer

Analytical queries typically aggregate a few columns across millions of rows; columnar storage reads only those columns from disk, drastically reducing I/O compared to reading full rows.

Question 5

A data architect is evaluating whether to use AWS Lake Formation or Amazon Redshift alone for a new analytics platform. Which scenario best justifies choosing a lakehouse architecture combining both?

Accepted Answer

Data includes structured, semi-structured, and unstructured formats with varying query frequencies

Answer

A lakehouse combining Lake Formation and Redshift handles diverse data formats by storing infrequently accessed or unstructured data in S3 while keeping hot structured data in Redshift.

Data Warehousing on AWS Training Practice Test

Data Warehousing on AWS Training Practice Test

Data Warehousing on AWS Training Data Warehousing on AWS: Trends, Network And Critical Thinking 3