MCQs on Monitoring, Security, and Performance | Amazon Elasticsearch Service MCQs

Test your knowledge with these Amazon Elasticsearch Service MCQ questions and answers focused on Chapter 4, covering key topics like real-time monitoring, security best practices, snapshot management, performance tuning, and disaster recovery. These questions will help you strengthen your understanding of OpenSearch Dashboards, AWS integration, and more. Perfect for those looking to enhance their Elasticsearch expertise!

MCQs on Real-Time Monitoring with OpenSearch Dashboards

1. OpenSearch Dashboards are primarily used for:
   a) Real-time data visualization
   b) Creating Elasticsearch indices
   c) Managing AWS resources
   d) Monitoring backup jobs
2. What type of data can be visualized using OpenSearch Dashboards?
   a) Only text-based logs
   b) Real-time metrics, logs, and traces
   c) Only static charts
   d) CloudWatch Logs exclusively
3. OpenSearch Dashboards provide which feature for visualizing real-time data?
   a) Log management
   b) Dashboards with graphs and charts
   c) Lambda function integration
   d) Data importing
4. Which OpenSearch component is directly integrated with Dashboards for real-time insights?
   a) Logstash
   b) Elasticsearch
   c) Kinesis
   d) S3 Storage
5. Which of the following can be monitored with OpenSearch Dashboards?
   a) CloudWatch Alarms
   b) Elasticsearch clusters and nodes
   c) AWS Lambda execution times
   d) AWS VPC configurations
6. Real-time monitoring in OpenSearch Dashboards helps track:
   a) Security breaches
   b) Resource consumption and performance
   c) Code versioning
   d) Network traffic
7. Dashboards in OpenSearch allow visualization of data from:
   a) External cloud services
   b) Elasticsearch and Logstash
   c) Only CloudWatch
   d) Static data files
8. OpenSearch Dashboards display data in which format?
   a) Tables only
   b) Graphs, pie charts, and histograms
   c) Raw JSON files
   d) CSV reports

MCQs on Integrating with CloudWatch and AWS Metrics

9. What is the purpose of integrating OpenSearch with CloudWatch?
   a) To provide real-time logging
   b) To enable metrics monitoring and alerting
   c) To optimize search performance
   d) To store Elasticsearch backups
10. AWS CloudWatch provides:
    a) Logs for debugging only
    b) Metrics to monitor system performance
    c) File storage capabilities
    d) Real-time security analysis
11. In CloudWatch, what is used to monitor Elasticsearch performance?
    a) Alarms
    b) CloudFormation templates
    c) Dashboards
    d) Metrics
12. What type of CloudWatch data is most relevant for monitoring Elasticsearch?
    a) Security data
    b) Memory usage and CPU load
    c) Lambda invocation times
    d) S3 bucket statistics
13. CloudWatch metrics can be used to:
    a) Build visualizations only
    b) Track resource usage and health
    c) Monitor only EC2 instances
    d) Encrypt data at rest
14. What is the default retention period for CloudWatch metrics?
    a) 7 days
    b) 30 days
    c) 1 year
    d) Unlimited
15. Which AWS service does OpenSearch integrate with for custom metric collection?
    a) AWS Kinesis
    b) AWS Lambda
    c) AWS CloudWatch
    d) AWS S3
16. CloudWatch can send notifications based on metrics using:
    a) SNS (Simple Notification Service)
    b) SQS (Simple Queue Service)
    c) Kinesis Streams
    d) EC2 instances

MCQs on Security Best Practices: Cognito, IAM Policies, and Access Control

17. AWS Cognito is used for:
    a) Data storage
    b) User authentication and authorization
    c) Performance monitoring
    d) Data backup
18. IAM policies in AWS are used to:
    a) Provide network access
    b) Control user and service permissions
    c) Monitor system metrics
    d) Create backup strategies
19. Which IAM role is required for managing an Elasticsearch cluster?
    a) Admin
    b) Read-only
    c) Superuser
    d) Elasticsearch-specific role
20. AWS IAM provides which of the following access controls?
    a) Resource-based policies
    b) Only user-specific policies
    c) Rate-limiting controls
    d) API integration policies
21. To securely access OpenSearch Dashboards, which service should be used for user authentication?
    a) AWS IAM
    b) AWS Cognito
    c) AWS Lambda
    d) EC2 instance role
22. Access control in OpenSearch can be configured using:
    a) CloudWatch
    b) Elasticsearch roles and policies
    c) EC2 security groups
    d) S3 bucket permissions
23. What is the benefit of using fine-grained access control in OpenSearch?
    a) It optimizes queries
    b) It provides more detailed access management
    c) It prevents data loss
    d) It improves monitoring
24. To grant read-only access to OpenSearch Dashboards, which policy is needed?
    a) Custom role with write access
    b) AWS default policy
    c) Read-only access role
    d) Administrative access
25. What is a best practice for managing access control in Elasticsearch?
    a) Granting all users admin rights
    b) Using least privilege principles
    c) Disabling IAM policies
    d) Sharing credentials across teams

MCQs on Snapshot Management and Backup Strategies

26. Snapshots in OpenSearch are used for:
    a) Enhancing search performance
    b) Data backup and recovery
    c) Analyzing real-time data
    d) Configuring CloudWatch alarms
27. OpenSearch snapshots are stored in:
    a) S3 buckets
    b) EC2 instances
    c) CloudWatch logs
    d) Lambda functions
28. Which is the primary advantage of snapshot-based backups?
    a) They reduce query time
    b) They are easy to restore
    c) They improve indexing speed
    d) They enhance security
29. Which strategy should be used to ensure continuous backup of OpenSearch data?
    a) Manual snapshots
    b) Automated snapshot schedules
    c) Full data replication
    d) Using Lambda for backups
30. In OpenSearch, snapshots are taken using:
    a) AWS CloudFormation
    b) Snapshot API
    c) EC2 instance commands
    d) S3 bucket triggers

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