MCQs on Cost Management and Troubleshooting | AWS Amazon CloudFront MCQs
Explore the most essential AWS Amazon CloudFront MCQ questions and answers to strengthen your understanding of cost management and troubleshooting in Amazon CloudFront. Learn about CloudFront pricing models, cost optimization strategies, debugging common issues like cache misses and latency, and monitoring performance using CloudWatch and third-party tools.
MCQs
CloudFront Pricing Model: Data Transfer and Requests
- Which component contributes most to CloudFront costs?
a) Lambda@Edge
b) Data transfer out
c) Origin fetch requests
d) Inbound data transfer - How are CloudFront request charges calculated?
a) Per server per hour
b) Per HTTP or HTTPS request
c) Per data storage amount
d) Fixed monthly rate - Which region’s pricing typically applies to data transfer out?
a) The requester’s region
b) The origin region
c) The edge location region
d) The nearest AWS Region - What is the pricing difference between HTTP and HTTPS requests in CloudFront?
a) HTTPS requests are cheaper
b) HTTP requests are more expensive
c) Both have equal cost
d) Pricing depends on edge location - When does AWS apply “free tier” pricing for CloudFront?
a) For first 1 TB of data transfer out per month
b) For all GET requests
c) For origin fetches within AWS regions
d) For private CloudFront distributions
Cost Optimization Strategies
- What is one way to optimize costs in CloudFront?
a) Using more custom SSL certificates
b) Utilizing fewer edge locations
c) Enabling cache compression
d) Reducing edge node utilization - Which AWS service can integrate with CloudFront to lower data transfer costs?
a) S3 Transfer Acceleration
b) AWS Lambda
c) EC2 Auto Scaling
d) Amazon Inspector - How can you reduce CloudFront costs when serving large files?
a) Avoid using cache invalidation
b) Implement signed URLs or cookies
c) Set low TTL for cached objects
d) Use smaller edge nodes - Why is enabling gzip compression on CloudFront beneficial?
a) Reduces request charges
b) Decreases bandwidth costs
c) Increases edge location charges
d) Eliminates cache misses - Which of the following is NOT a cost optimization strategy for CloudFront?
a) Setting up Origin Shield
b) Enabling real-time log processing
c) Adjusting TTL for cache behaviors
d) Avoiding CloudWatch metrics
Debugging Common Issues: Cache Misses, Latency, and Errors
- What causes most cache misses in CloudFront?
a) High origin latency
b) Incorrect cache control headers
c) Unused edge locations
d) Excessive signed URLs - Which tool helps identify latency issues in CloudFront?
a) CloudWatch Latency Dashboard
b) AWS Glue
c) Elastic Load Balancer
d) Amazon S3 Inventory - How can you troubleshoot 504 errors in CloudFront?
a) Update the DNS records
b) Configure Origin Shield
c) Increase origin timeout settings
d) Enable automatic cache invalidation - What typically causes 403 errors in CloudFront?
a) Insufficient bucket policies
b) High edge location usage
c) Expired cache TTL
d) Origin SSL configuration issues - How does the “Age” header help in debugging CloudFront issues?
a) Shows cache invalidation rate
b) Indicates how long the object has been cached
c) Measures the latency of edge locations
d) Tracks errors in origin requests
Performance Metrics with CloudWatch and Third-Party Tools
- What CloudWatch metric measures data transfer for CloudFront?
a) TotalRequests
b) BytesDownloaded
c) CacheHitRate
d) OriginResponseTime - Which metric in CloudWatch indicates a high rate of errors in CloudFront?
a) 4xxErrorRate
b) EdgeLatency
c) CacheMissRate
d) HTTP5xxResponseTime - What does a low cache hit ratio suggest?
a) Excessive bandwidth usage
b) High origin utilization
c) Efficient cache usage
d) Reduced edge location effectiveness - How can you track end-user performance issues with CloudFront?
a) Analyze EdgeLatency metrics
b) Enable CloudFront Distribution Logs
c) Use AWS Trusted Advisor
d) Configure NAT Gateway - Which third-party tool is commonly used for monitoring CloudFront performance?
a) Jenkins
b) New Relic
c) AWS CodeDeploy
d) Terraform
Mixed Questions
- How can you minimize cache invalidation costs in CloudFront?
a) Increase cache duration
b) Use frequent cache purges
c) Set lower cache priority
d) Avoid Origin Shield - Which feature allows customized error responses in CloudFront?
a) Edge Lambda functions
b) Custom HTTP headers
c) Error Caching MinTTL
d) Signed cookies - Which of the following can improve cache hit ratio?
a) Using multiple edge locations
b) Setting proper cache control headers
c) Reducing origin capacity
d) Increasing object versions - What does a 503 error typically indicate in CloudFront?
a) Origin is unavailable
b) Cache is expired
c) Invalid DNS settings
d) Authentication error - What is the purpose of Origin Shield in CloudFront?
a) Reduce edge location bandwidth
b) Decrease origin fetches
c) Optimize SSL termination
d) Enable advanced request routing - How does enabling real-time logs benefit CloudFront performance?
a) Lowers latency
b) Reduces cache misses
c) Speeds up troubleshooting
d) Minimizes bandwidth costs - Which setting ensures secure access to private content in CloudFront?
a) Cache policies
b) Origin access control
c) Signed URLs or cookies
d) Cache invalidation - What is the purpose of using “TTL” in CloudFront?
a) Manage data transfer rates
b) Set caching duration
c) Control billing cycles
d) Restrict edge location access - How does CloudFront handle dynamic content?
a) Always caches it
b) Delivers directly from origin
c) Uses specialized edge nodes
d) Applies fixed caching policies - What is a potential drawback of frequent cache invalidations?
a) High request latency
b) Increased cache hit ratio
c) High operational costs
d) Reduced origin usage
Answer Key
| Qno | Answer |
|---|---|
| 1 | b) Data transfer out |
| 2 | b) Per HTTP or HTTPS request |
| 3 | c) The edge location region |
| 4 | d) Pricing depends on edge location |
| 5 | a) For first 1 TB of data transfer out per month |
| 6 | c) Enabling cache compression |
| 7 | a) S3 Transfer Acceleration |
| 8 | b) Implement signed URLs or cookies |
| 9 | b) Decreases bandwidth costs |
| 10 | b) Enabling real-time log processing |
| 11 | b) Incorrect cache control headers |
| 12 | a) CloudWatch Latency Dashboard |
| 13 | c) Increase origin timeout settings |
| 14 | a) Insufficient bucket policies |
| 15 | b) Indicates how long the object has been cached |
| 16 | b) BytesDownloaded |
| 17 | a) 4xxErrorRate |
| 18 | b) High origin utilization |
| 19 | a) Analyze EdgeLatency metrics |
| 20 | b) New Relic |
| 21 | a) Increase cache duration |
| 22 | c) Error Caching MinTTL |
| 23 | b) Setting proper cache control headers |
| 24 | a) Origin is unavailable |
| 25 | b) Decrease origin fetches |
| 26 | c) Speeds up troubleshooting |
| 27 | c) Signed URLs or cookies |
| 28 | b) Set caching duration |
| 29 | b) Delivers directly from origin |
| 30 | c) High operational costs |