MCQs on Advanced Performance Tuning in Redshift | AWS Redshift Tuning Questions

Are you preparing for AWS Redshift certification or sharpening your expertise in advanced performance tuning? This collection of AWS Redshift MCQ questions and answers focuses on key topics like Workload Management (WLM) configuration, query prioritization, concurrency, analyzing system tables for bottlenecks, and using query monitoring rules. These questions will help you test your knowledge and prepare effectively for assessments.


MCQs on Workload Management (WLM) Configuration

  1. Which component in AWS Redshift allows you to allocate system resources to different user groups?
    a) Query Monitoring Rules
    b) Workload Management (WLM)
    c) Query Queue Manager
    d) Elastic Load Balancer
  2. How many query queues can you define in AWS Redshift at maximum?
    a) 10
    b) 8
    c) 15
    d) 5
  3. What happens when a query exceeds the WLM timeout setting?
    a) The query runs indefinitely.
    b) The query is terminated.
    c) The query results are cached.
    d) The query execution is paused.
  4. Which configuration parameter is used to set concurrency in WLM?
    a) max_concurrency
    b) wlm_concurrency_level
    c) query_concurrency_limit
    d) concurrency_scaling
  5. What is the default action when a query queue reaches its memory limit in WLM?
    a) Terminate the oldest query.
    b) Reject new queries.
    c) Spill to disk.
    d) Pause all running queries.

MCQs on Query Prioritization and Concurrency

  1. What is the main purpose of query prioritization in AWS Redshift?
    a) To allocate CPU resources to long-running queries.
    b) To execute smaller queries before larger ones.
    c) To ensure fairness among all queries.
    d) To manage user group access to query queues.
  2. Which concurrency setting is ideal for high-priority queries?
    a) 1
    b) 5
    c) 10
    d) 15
  3. How does Redshift handle concurrency scaling automatically?
    a) It increases the number of slices per node.
    b) It creates transient clusters.
    c) It decreases memory per query.
    d) It rejects low-priority queries.
  4. Which type of query benefits the most from concurrency scaling?
    a) Long-running queries
    b) Analytical queries
    c) Short-running queries
    d) Ad-hoc queries
  5. When can query priority settings be adjusted?
    a) Only during cluster creation
    b) At runtime and during queue configuration
    c) Only for individual queries
    d) After query completion

MCQs on Analyzing System Tables for Bottlenecks

  1. Which system table provides information on query execution times?
    a) STL_QUERY
    b) STL_EXECUTION
    c) STL_SCAN
    d) STL_ALERT_EVENT_LOG
  2. How can you identify disk-based query operations?
    a) By checking STL_SYSTEM_ERRORS
    b) By reviewing the EXPLAIN plan
    c) By analyzing STL_SCAN logs
    d) Using the SVL_QUERY_METRICS table
  3. What does a high “Disk-Based” value in the query metrics table indicate?
    a) Efficient memory utilization
    b) Insufficient memory allocation
    c) High CPU usage
    d) Optimized query performance
  4. Which system table logs memory usage by queries?
    a) SVL_MEMORY_USAGE
    b) STL_MEMORY_PROFILE
    c) STL_WLM_QUERY
    d) SVL_QUERY_SUMMARY
  5. What does the SVV_TRANSACTIONS system table display?
    a) Active and pending transactions
    b) Disk usage trends
    c) Query optimization hints
    d) Database schema relationships

MCQs on Using Query Monitoring Rules

  1. What is the primary use of Query Monitoring Rules in AWS Redshift?
    a) To optimize storage allocation
    b) To monitor and terminate poorly performing queries
    c) To analyze database schema
    d) To create additional query queues
  2. Which metric can trigger a Query Monitoring Rule?
    a) Disk I/O
    b) Query runtime
    c) Network latency
    d) Number of joins
  3. What is the default action for a query breaching a Query Monitoring Rule?
    a) Pause the query execution
    b) Cancel the query
    c) Notify the administrator
    d) Increase resource allocation
  4. How do Query Monitoring Rules improve cluster performance?
    a) By caching frequently accessed queries
    b) By prioritizing certain user groups
    c) By preventing long-running or resource-intensive queries
    d) By auto-scaling the cluster
  5. Where can Query Monitoring Rules be configured in Redshift?
    a) WLM Configuration in the console
    b) IAM Role settings
    c) Database Schema Editor
    d) S3 Bucket Policies

Answers

QNoAnswer (Option with Text)
1b) Workload Management (WLM)
2b) 8
3b) The query is terminated
4a) max_concurrency
5c) Spill to disk
6b) To execute smaller queries first
7a) 1
8b) It creates transient clusters
9c) Short-running queries
10b) At runtime and during configuration
11a) STL_QUERY
12c) By analyzing STL_SCAN logs
13b) Insufficient memory allocation
14a) SVL_MEMORY_USAGE
15a) Active and pending transactions
16b) To monitor and terminate poorly performing queries
17b) Query runtime
18b) Cancel the query
19c) By preventing long-running or resource-intensive queries
20a) WLM Configuration in the console

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