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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q60-Q65):

NEW QUESTION # 60
A SysOps administrator needs to give an existing AWS Lambda function access to an existing Amazon S3 bucket. Traffic between the Lambda function and the S3 bucket must not use public IP addresses. The Lambda function has been configured to run in a VPC.
Which solution will meet these requirements?

Answer: B

Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Documents:
The requirement is that traffic from a VPC-connected Lambda to Amazon S3 must not use public IP addresses. The AWS-native way to keep traffic private is to use VPC endpoints, which provide private connectivity to supported AWS services without traversing the public internet. Among the options, creating an S3 VPC endpoint is the only approach that satisfies "no public IP addresses" while allowing access to the bucket. Option D is the best match because it explicitly configures an S3 endpoint and directs the Lambda function to use the endpoint-specific DNS name for private routing.
Option C (NAT gateway) is incorrect for this requirement because NAT provides outbound internet access from private subnets and typically uses public IP addressing at the NAT gateway. That violates the intent to avoid public IP paths for S3 traffic. Option A is not applicable because S3 buckets are not placed "inside" a VPC and do not participate in VPC sharing in a way that provides private network paths. Option B (transit gateway) connects VPCs and on-prem networks, but it does not create private service connectivity to S3 by itself; you would still need the correct service endpoint solution for S3 access.
Using a VPC endpoint also aligns with CloudOps best practices: it reduces exposure, simplifies network egress controls, and supports least-privilege access via endpoint policies (where applicable) alongside IAM policies.
References:
Amazon VPC User Guide - VPC endpoints for AWS services and private connectivity AWS Lambda Developer Guide - Lambda networking in a VPC Amazon S3 User Guide - Accessing S3 privately using VPC endpoints


NEW QUESTION # 61
A CloudOps engineer is troubleshooting an implementation of Amazon CloudWatch Synthetics. The CloudWatch Synthetics results must be sent to an Amazon S3 bucket.
The CloudOps engineer has copied the configuration of an existing canary that runs on a VPC that has an internet gateway attached. However, the CloudOps engineer cannot get the canary to successfully start on a private VPC that has no internet access.
What should the CloudOps engineer do to successfully run the canary on the private VPC?

Answer: C

Explanation:
Comprehensive Explanation (250-350 words):
CloudWatch Synthetics canaries require connectivity to both CloudWatch and Amazon S3 to function correctly. In a private VPC without internet access, AWS service access must be provided through VPC endpoints.
The canary needs to send metrics, logs, and execution data to CloudWatch, which requires an interface VPC endpoint for CloudWatch. It also needs to store artifacts such as screenshots and HAR files in Amazon S3, which requires a gateway VPC endpoint for S3. Without these endpoints, the canary cannot communicate with required AWS services and will fail to start.
DNS resolution and DNS hostnames must be enabled so the canary can resolve AWS service endpoints to the private IP addresses exposed by the VPC endpoints. This is a mandatory prerequisite for PrivateLink-based service access.
Option B and C incorrectly disable DNS functionality, which breaks service endpoint resolution. Option A includes invalid or irrelevant permissions and does not address private connectivity requirements.
Therefore, enabling DNS support and creating both the CloudWatch interface endpoint and the S3 gateway endpoint is the correct and complete solution.


NEW QUESTION # 62
A company uses an Amazon Simple Queue Service (Amazon SQS) queue and Amazon EC2 instances in an Auto Scaling group with target tracking for a web application. The company collects the ASGAverageNetworkIn metric but notices that instances do not scale fast enough during peak traffic. There are a large number of SQS messages accumulating in the queue.
A CloudOps engineer must reduce the number of SQS messages during peak periods.
Which solution will meet this requirement?

Answer: C

Explanation:
According to the AWS Cloud Operations and Auto Scaling documentation, scaling applications that consume Amazon SQS messages should be driven by queue backlog per instance, not by general system metrics such as network traffic or CPU.
The correct approach is to calculate a custom metric using CloudWatch metric math that divides the SQS metric ApproximateNumberOfMessagesVisible by the number of active EC2 instances in the Auto Scaling group. This "backlog per instance" value represents the average number of messages waiting to be processed by each instance.
Then, the CloudOps engineer can create a target tracking policy that automatically scales out or in based on maintaining a desired backlog threshold. This approach ensures dynamic, workload-driven scaling behavior that reacts in near real time to message volume.
Step and simple scaling (Options C and D) require manual thresholds and do not automatically balance the load per instance.
Thus, Option B-using CloudWatch metric math to define queue backlog per instance for target tracking-is the most effective and AWS-recommended CloudOps practice.


NEW QUESTION # 63
A company runs an application on an Amazon EC2 instance. The application uses a MySQL database. The EC2 instance has a General Purpose SSD (gp3) Amazon EBS volume attached. The company wants to perform load testing using a new MySQL database created from an EBS snapshot of the production instance.
The new database must perform as similarly as possible to production.
Which solution will meet these requirements in the LEAST amount of time?

Answer: D

Explanation:
Comprehensive Explanation (250-350 words):
Amazon EBS snapshots are stored in Amazon S3, and standard restores can experience higher latency until data blocks are fully retrieved. Fast Snapshot Restore (FSR) eliminates this latency by ensuring that all blocks are immediately available at full performance.
Because the production environment uses a General Purpose SSD (gp3) volume, creating the test database on the same volume type ensures performance characteristics are as similar as possible. Using FSR significantly reduces restore time and allows load testing to begin immediately.
Provisioned IOPS volumes would introduce different performance characteristics and unnecessary cost.
Standard snapshot restore would delay testing due to gradual block hydration.
Therefore, using FSR with the same EBS volume type is the fastest and most accurate solution.


NEW QUESTION # 64
A company has an internal web application that runs on Amazon EC2 instances behind an Application Load Balancer. The instances run in an Amazon EC2 Auto Scaling group in a single Availability Zone. A CloudOps engineer must make the application highly available.
Which action should the CloudOps engineer take to meet this requirement?

Answer: D

Explanation:
Comprehensive Explanation (250-350 words):
High availability for an EC2-based web application behind an ALB is primarily achieved by eliminating single points of failure at the infrastructure layer. A single Availability Zone (AZ) deployment is vulnerable to AZ-level impairment (power/network issues, facility events, or service disruptions). The most direct and standard AWS approach is to distribute the Auto Scaling group across multiple AZs within the same Region.
Updating the Auto Scaling group to use subnets in at least two AZs allows instances to be launched across AZs automatically. The ALB is built to route traffic across targets in multiple AZs, and Auto Scaling can replace unhealthy instances in any enabled AZ. This provides resilience without the complexity of multi- Region architectures.
Options A and B address capacity for peak load but do not address the core availability requirement. Even with more instances, a full AZ outage would still take the entire application down if all instances are in the same AZ.
Option D (multi-Region) can improve resilience further, but it introduces significantly more operational overhead: cross-Region traffic routing, data replication, DNS failover strategy, application state handling, and potentially active-active or active-passive designs. For "make the application highly available" from a single- AZ baseline, multi-AZ in the same Region is the standard, least-overhead improvement.


NEW QUESTION # 65
......

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