Bird
0
0

Why does CloudWatch aggregate metric data points over time intervals instead of storing every single data point?

hard📝 Conceptual Q10 of 15
AWS - CloudWatch
Why does CloudWatch aggregate metric data points over time intervals instead of storing every single data point?
ATo reduce storage costs and improve query performance
BBecause AWS limits the number of data points per metric
CTo avoid data duplication across regions
DBecause metrics are only updated once per day
Step-by-Step Solution
Solution:

  1. Step 1: Understand Metric Aggregation Purpose

    Aggregating reduces storage needs and speeds up queries.

  2. Step 2: Analyze Other Options

    Limits exist but aggregation is for efficiency; duplication and daily updates are incorrect reasons.

  3. Final Answer:

    To reduce storage costs and improve query performance -> Option A

  4. Quick Check:

    Aggregation = cost and performance optimization [OK]
Quick Trick: Aggregation saves cost and speeds queries [OK]
Common Mistakes:
MISTAKES
  • Thinking aggregation is due to limits
  • Confusing with replication issues
  • Assuming infrequent metric updates

Want More Practice?

15+ quiz questions · All difficulty levels · Free

Free Signup - Practice All Questions
More AWS Quizzes
API Gateway - REST API creation - Quiz 12easy API Gateway - API keys and usage plans - Quiz 6medium CloudWatch - Log groups and log streams - Quiz 7medium DynamoDB - Creating a DynamoDB table - Quiz 1easy DynamoDB - Put, get, and query operations - Quiz 15hard DynamoDB - Partition key and sort key - Quiz 13medium Elastic Load Balancing - Network Load Balancer (NLB) - Quiz 6medium RDS and Relational Databases - Launching an RDS instance - Quiz 5medium SNS and SQS - Sending and receiving messages - Quiz 9hard SNS and SQS - Dead letter queues - Quiz 14medium