SAP-C02 Continuous Improvement for Existing Solutions Practice Question
Which THREE factors should be considered when designing a disaster recovery plan for a multi-tier application using AWS? (Choose three.)
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Recovery Time Objective (RTO) and Recovery Point Objective (RPO).
Options A, B, and C are correct. A: RTO and RPO define recovery objectives. B: Data replication strategy (synchronous vs. asynchronous) impacts consistency and latency. C: DNS failover using Route 53 directs traffic to the DR site during a disaster. D is incorrect because deploying across multiple Availability Zones addresses high availability, not disaster recovery across regions. E is incorrect because larger instance sizes improve performance, not disaster recovery readiness.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Recovery Time Objective (RTO) and Recovery Point Objective (RPO).
Why this is correct
Key metrics for DR planning.
- ✓
Data replication strategy (e.g., synchronous vs. asynchronous).
Why this is correct
Replication ensures data is available at DR site.
- ✓
DNS failover using Amazon Route 53.
Why this is correct
Route 53 can route traffic to DR site.
- ✗
Deploying the application across multiple Availability Zones.
Why it's wrong here
Multi-AZ is for high availability within a region, not DR.
- ✗
Using larger instance sizes for better performance.
Why it's wrong here
Not directly relevant to DR planning.
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Same concept, more angles
1 more way this is tested on SAP-C02
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. Refer to the exhibit. $ aws ec2 describe-instances --region us-east-1 --filters Name=tag:Name,Values=WebServer --query 'Reservations[].Instances[].{ID:InstanceId,State:State.Name,Type:InstanceType,LaunchTime:LaunchTime}' --output table A DevOps engineer runs the above command. The Auto Scaling group for WebServer instances has a desired count of 3, but the engineer notices that there are 5 instances with the same tag. What is the MOST likely cause?
medium- A.The Auto Scaling group has a cooldown period that prevents immediate termination.
- ✓ B.The command is filtering by the wrong tag key.
- C.The other two instances are in a 'terminating' state and are not returned by the command.
- D.The instances were launched with a different launch template that does not have the tag.
Why B: The command filters by tag:Name=WebServer, but if the engineer notices 5 instances with the same tag, it indicates that the tag key used in the filter might be incorrect. For example, if some instances have the tag 'Name' incorrectly capitalized or a different tag key, they would not be matched by the filter. However, the engineer sees 5 instances, meaning the filter returns those 5, but the ASG desired count is 3. The most likely explanation is that the filter is matching instances that are not part of the ASG because they have a different tag key that coincidentally matches the filter. Option C is incorrect because instances in 'terminating' state are still returned by the describe-instances command, so they would appear in the output. Options A and D are less likely: cooldown does not prevent termination, and instances launched with a different launch template could still have the same tag.
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This SAP-C02 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the SAP-C02 exam.