MCQs on Setting Up and Managing EMR Clusters | AWS Amazon EMR Questions Multiple Choice
Enhance your cloud computing expertise with these AWS Amazon EMR MCQ questions and answers. This set covers essential topics on setting up and managing EMR clusters, including cluster configuration, deployment, auto-scaling, and spot instance management. Perfect for improving your knowledge of Amazon EMR in real-world big data scenarios.
MCQs
Cluster Configuration and Deployment
- What does Amazon EMR primarily handle?
a) Real-time data streaming
b) Big data processing
c) Web application hosting
d) Container orchestration - Which of the following is NOT a supported application in an Amazon EMR cluster?
a) Apache Hadoop
b) Apache Spark
c) Apache Kafka
d) Apache Hive - What is the default instance type for master and core nodes in Amazon EMR?
a) m5.large
b) m4.xlarge
c) m5.xlarge
d) m3.medium - Which configuration option is used to pass bootstrap actions to an EMR cluster?
a) Instance groups
b) Custom AMIs
c) Presto settings
d) Cluster creation scripts - What is the primary purpose of EMR security configurations?
a) To configure IAM roles
b) To secure data at rest and in transit
c) To enhance network performance
d) To create auto-scaling policies - How can you minimize data transfer costs in an EMR cluster?
a) Use cross-region clusters
b) Place EMR clusters in the same region as data sources
c) Use public subnets for EMR nodes
d) Enable cluster-level monitoring - What feature allows you to pause and resume clusters in Amazon EMR?
a) Instance Fleets
b) Cluster States
c) Managed Scaling
d) Step Functions - Which Amazon EMR component enables you to manage software configurations for specific tasks?
a) Instance Groups
b) Applications tab
c) Bootstrap Actions
d) Key Management Services - What is the purpose of instance groups in Amazon EMR?
a) To group related AWS resources
b) To categorize instances by role (master, core, task)
c) To control user access to EMR clusters
d) To scale applications horizontally - Which AWS service is used to monitor the performance of EMR clusters?
a) Amazon CloudWatch
b) AWS Config
c) AWS GuardDuty
d) Amazon Inspector
Auto Scaling and Spot Instances Management
- How does auto-scaling benefit Amazon EMR clusters?
a) Reduces cluster deployment time
b) Automatically adjusts the number of instances based on workloads
c) Enables faster application installation
d) Eliminates the need for IAM roles - What is the primary use of spot instances in EMR clusters?
a) Provide on-demand resources
b) Reduce costs by using unused EC2 capacity
c) Guarantee higher performance
d) Enable long-term data storage - Which of the following is a potential drawback of using spot instances?
a) Higher hourly rates
b) Risk of instance termination due to capacity changes
c) Limited to specific AWS regions
d) No integration with CloudWatch - What is the role of Managed Scaling in Amazon EMR?
a) To provide manual instance scaling
b) To automatically resize clusters based on workload requirements
c) To optimize network traffic
d) To enable step-based application execution - When configuring auto-scaling, which metric is commonly used to trigger scaling actions?
a) Network latency
b) CPU utilization
c) Disk I/O operations
d) Instance pricing - How can you minimize interruptions when using spot instances in Amazon EMR?
a) Use multiple instance types and availability zones
b) Enable single availability zone deployments
c) Increase instance sizes
d) Disable bidding strategies - Which type of instance fleet supports mixing on-demand and spot instances?
a) Core instance groups
b) Task instance groups
c) Instance fleets
d) Master instance groups - What is the primary use of the task nodes in an EMR cluster?
a) To manage cluster scaling policies
b) To handle data processing jobs
c) To store logs for debugging
d) To run Amazon RDS integrations - How can you automatically terminate an EMR cluster after processing is complete?
a) Enable job completion triggers
b) Set up automatic termination policies
c) Use steps to define termination conditions
d) Configure cluster monitoring alerts - What determines the priority of spot instance fulfillment in EMR?
a) Instance type and bid price
b) Network performance
c) Region-wide resource availability
d) Data size of the workload
Answer Key
| Qno | Answer |
|---|---|
| 1 | b) Big data processing |
| 2 | c) Apache Kafka |
| 3 | c) m5.xlarge |
| 4 | d) Cluster creation scripts |
| 5 | b) To secure data at rest and in transit |
| 6 | b) Place EMR clusters in the same region as data sources |
| 7 | d) Step Functions |
| 8 | c) Bootstrap Actions |
| 9 | b) To categorize instances by role (master, core, task) |
| 10 | a) Amazon CloudWatch |
| 11 | b) Automatically adjusts the number of instances based on workloads |
| 12 | b) Reduce costs by using unused EC2 capacity |
| 13 | b) Risk of instance termination due to capacity changes |
| 14 | b) To automatically resize clusters based on workload requirements |
| 15 | b) CPU utilization |
| 16 | a) Use multiple instance types and availability zones |
| 17 | c) Instance fleets |
| 18 | b) To handle data processing jobs |
| 19 | c) Use steps to define termination conditions |
| 20 | a) Instance type and bid price |