MCQs on Monitoring, Debugging, and Optimization | AWS Amazon EMR Questions Multiple Choice
Explore AWS Amazon EMR MCQ questions and answers focusing on essential topics like Monitoring with Amazon CloudWatch, Performance Tuning, and Troubleshooting. These carefully designed multiple-choice questions are perfect for AWS certification aspirants and professionals seeking to optimize their EMR clusters effectively.
MCQs on Monitoring with Amazon CloudWatch
- What is the primary purpose of Amazon CloudWatch in an EMR environment?
a) To configure security groups
b) To monitor cluster metrics and set alarms
c) To manage EMR instances
d) To deploy machine learning models - Which type of CloudWatch metric is most commonly used to monitor the health of an EMR cluster?
a) Custom metrics
b) Default metrics
c) System-level metrics
d) Application metrics - What is the role of CloudWatch Logs in Amazon EMR monitoring?
a) Storing cluster snapshots
b) Analyzing log files from EMR instances
c) Scheduling EMR jobs
d) Managing instance states - How can you create alarms for monitoring EMR cluster health in CloudWatch?
a) By enabling CloudFormation templates
b) Using predefined log groups
c) By configuring thresholds for metrics
d) By adding IAM roles to the cluster - Which of the following metrics indicates cluster resource utilization in EMR?
a) DiskReadOps
b) HDFSUtilization
c) InstanceStatusCheckFailed
d) NetworkPacketsIn - How does CloudWatch Events assist in Amazon EMR monitoring?
a) By automatically resizing the cluster
b) By triggering actions based on cluster events
c) By encrypting data in transit
d) By configuring IAM policies - Which API call retrieves metric data from Amazon CloudWatch for an EMR cluster?
a) DescribeMetricsData
b) GetMetricData
c) RetrieveLogs
d) FetchClusterStatus - What is a recommended practice for monitoring long-running EMR clusters?
a) Enable Auto Scaling
b) Use continuous logging with CloudWatch Logs
c) Use Spot Instances for all nodes
d) Disable CloudWatch alarms to reduce cost - How can you reduce the costs associated with CloudWatch Logs for EMR?
a) Store logs in S3 instead of CloudWatch Logs
b) Use standard monitoring instead of detailed monitoring
c) Decrease the retention period for logs
d) Use smaller instance types - Which CloudWatch feature is helpful for debugging EMR cluster failures?
a) Metrics Explorer
b) Custom Dashboards
c) Log Insights
d) Resource Tags
MCQs on Performance Tuning and Troubleshooting
- What is the first step in troubleshooting an EMR cluster’s poor performance?
a) Add more cluster nodes
b) Review CloudWatch metrics and logs
c) Enable encryption for all communications
d) Switch to On-Demand Instances - Which parameter can be adjusted to improve Spark job performance in an EMR cluster?
a) Instance storage type
b) HDFS replication factor
c) Executor memory allocation
d) Number of master nodes - What is the purpose of YARN in Amazon EMR?
a) To manage resource allocation across cluster nodes
b) To encrypt cluster data
c) To reduce data transfer costs
d) To monitor instance state - How can you optimize data processing in an EMR cluster?
a) Use EMR File System (EMRFS) with S3
b) Increase the number of EMR master nodes
c) Configure an Elastic Load Balancer
d) Disable logging - What does enabling Auto Scaling in EMR clusters achieve?
a) Allows EMRFS to improve performance
b) Dynamically adjusts the number of nodes based on demand
c) Improves encryption for data at rest
d) Ensures compatibility with older Spark versions - Which EMR tool is used for analyzing cluster resource utilization?
a) Spark UI
b) Resource Manager UI
c) HDFS UI
d) Hue - Which of the following is a common cause of job failures in Amazon EMR?
a) Using Spot Instances for critical tasks
b) Insufficient IAM permissions
c) Over-provisioned cluster nodes
d) Misconfigured CloudWatch alarms - How can you improve shuffle operations in Spark on EMR?
a) Increase the HDFS block size
b) Use larger instance types for worker nodes
c) Configure dynamic partitioning
d) Enable speculative execution - What is a recommended practice for minimizing costs in an EMR cluster?
a) Use On-Demand Instances only
b) Terminate clusters immediately after job completion
c) Increase instance storage size
d) Disable encryption for logs - How can you debug failed tasks in Amazon EMR?
a) Check the instance types
b) Review logs in the Spark history server
c) Enable default CloudWatch alarms
d) Restart the cluster
Answers
| QNo | Answer (Option with Text) |
|---|---|
| 1 | b) To monitor cluster metrics and set alarms |
| 2 | d) Application metrics |
| 3 | b) Analyzing log files from EMR instances |
| 4 | c) By configuring thresholds for metrics |
| 5 | b) HDFSUtilization |
| 6 | b) By triggering actions based on cluster events |
| 7 | b) GetMetricData |
| 8 | b) Use continuous logging with CloudWatch Logs |
| 9 | c) Decrease the retention period for logs |
| 10 | c) Log Insights |
| 11 | b) Review CloudWatch metrics and logs |
| 12 | c) Executor memory allocation |
| 13 | a) To manage resource allocation across cluster nodes |
| 14 | a) Use EMR File System (EMRFS) with S3 |
| 15 | b) Dynamically adjusts the number of nodes based on demand |
| 16 | b) Resource Manager UI |
| 17 | a) Using Spot Instances for critical tasks |
| 18 | d) Enable speculative execution |
| 19 | b) Terminate clusters immediately after job completion |
| 20 | b) Review logs in the Spark history server |