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SOA-C03 test valid dumps & SOA-C03 latest exam training & SOA-C03 exam s

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SOA-C03 test valid dumps & SOA-C03 latest exam training & SOA-C03 exam s

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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q106-Q111):NEW QUESTION # 106
A CloudOps engineer needs to build an event infrastructure for a set of custom application- specific events. The events must be sent to an AWS Lambda function for processing. The CloudOps engineer must record the events to replay later by event type or event time.
Which solution will meet these requirements?
  • A. Create an Amazon EventBridge custom event bus. Create an archive on the custom event bus.
    Create a rule to send the custom events to the Lambda function.
  • B. Create an archive on the Amazon EventBridge default event bus. Use pattern matching to record the custom events. Create a rule to send the custom events to the Lambda function.
  • C. Create an archive on the Amazon EventBridge default event bus. Create an EventBridge pipe to ingest the custom events and to save the custom events in the archive. Create a rule to send the custom events to the Lambda function.
  • D. Create a log group in Amazon CloudWatch Logs. Create an Amazon EventBridge rule to send the custom events to the Lambda function and to the log group.
Answer: A
Explanation:
A custom EventBridge event bus is the correct choice for handling application-specific events.
You can define an archive on that custom event bus to record and later replay events by event type or timestamp. Creating an EventBridge rule to send events to a Lambda function ensures real-time processing while maintaining full replay capability, making this the most flexible and operationally efficient solution.

NEW QUESTION # 107
A company hosts a static website in an Amazon S3 bucket, accessed globally via Amazon CloudFront. The Cache-Control max-age header is set to 1 hour, and Maximum TTL is set to 5 minutes. The CloudOps engineer observes that CloudFront is not caching objects for the expected duration.
What is the reason for this issue?
  • A. Cache-duration settings conflict with each other.
  • B. Cache invalidation is missing in the CloudFront configuration.
  • C. The Expires header has been set to 3 hours.
  • D. Cached assets are not expiring in the edge location.
Answer: A
Explanation:
As per the AWS Cloud Operations and Content Delivery documentation, CloudFront determines cache behavior by evaluating both origin headers (e.g., Cache-Control and Expires) and distribution-level TTL settings.
When Cache-Control max-age conflicts with the Maximum TTL configured in CloudFront, the shorter TTL value takes precedence. This results in CloudFront caching content for only 5 minutes instead of 1 hour, despite the origin headers suggesting a longer duration.
AWS documentation explicitly states: "When both origin cache headers and CloudFront TTL settings are defined, CloudFront uses the most restrictive caching period." This mismatch causes the perceived performance drop, as CloudFront frequently revalidates content.
Therefore, Option D is correct - cache-duration settings conflict with each other, leading to unexpected caching behavior.
Reference: AWS Cloud Operations & Content Delivery Guide - Interaction Between Cache-Control Headers and CloudFront TTL Settings

NEW QUESTION # 108
An ecommerce company uses Amazon ElastiCache (Redis OSS) for caching product queries. The CloudOps engineer observes a large number of cache evictions in Amazon CloudWatch metrics and needs to reduce evictions while retaining popular data in cache.
Which solution meets these requirements with the least operational overhead?
  • A. Increase the ElastiCache TTL value.
  • B. Add another node to the ElastiCache cluster.
  • C. Decrease the ElastiCache TTL value.
  • D. Migrate to a new ElastiCache cluster with larger nodes.
Answer: D
Explanation:
According to the AWS Cloud Operations and ElastiCache documentation, cache evictions occur when the cache runs out of memory and must remove items to make space for new data.
To reduce evictions and retain frequently accessed items, AWS recommends increasing the total available memory - either by scaling up to larger node types or scaling out by adding shards/nodes. Migrating to a cluster with larger nodes is the simplest and most efficient solution because it immediately expands capacity without architectural changes.
Adjusting TTL (Options B and C) controls expiration timing, not memory allocation. Adding a single node (Option A) may help, but redistributing data requires resharding, introducing more complexity.
Thus, Option D provides the lowest operational overhead and ensures high cache hit rates by increasing total cache memory.
Reference: AWS Cloud Operations & Performance Optimization Guide - Reducing Evictions and Scaling Amazon ElastiCache Clusters

NEW QUESTION # 109
A company is storing backups in an Amazon S3 bucket. These backups must not be deleted for at least 3 months after creation.
What should the CloudOps engineer do?
  • A. Enable S3 Object Lock on a new S3 bucket in compliance mode. Place all backups in the new S3 bucket with a retention period of 3 months.
  • B. Configure an IAM policy that denies the s3eleteObject action for all users. Three months after an object is written, remove the policy.
  • C. Enable S3 Object Lock on a new S3 bucket in governance mode. Place all backups in the new S3 bucket with a retention period of 3 months.
  • D. Enable S3 Versioning on the existing S3 bucket. Configure S3 Lifecycle rules to protect the backups.
Answer: A
Explanation:
Per the AWS Cloud Operations and Data Protection documentation, S3 Object Lock enforces write-once-read- many (WORM) protection on objects for a defined retention period.
There are two modes:
Compliance mode: Even the root user cannot delete or modify objects during the retention period.
Governance mode: Privileged users with special permissions can override lock settings.
For regulatory or audit requirements that prohibit deletion, Compliance mode is the correct choice. When configured with a 3-month retention period, all backup objects are protected from deletion until expiration, ensuring compliance with data retention mandates.
Versioning (Option C) alone does not prevent deletion. IAM-based restrictions (Option A) lack time-based enforcement and require manual intervention. Governance mode (Option D) is less strict and unsuitable for regulatory retention.
Thus, Option B is the correct CloudOps solution for immutable S3 backups.
Reference: AWS Cloud Operations & Storage Governance Guide - Implementing Retention with Amazon S3 Object Lock in Compliance Mode

NEW QUESTION # 110
A company maintains a list of 75 approved Amazon Machine Images (AMIs) that can be used across an organization in AWS Organizations. The company's development team has been launching Amazon EC2 instances from unapproved AMIs.
A SysOps administrator must prevent users from launching EC2 instances from unapproved AMIs.
Which solution will meet this requirement?
  • A. Use AWS Config with an AWS Lambda function to check for EC2 instances that are launched from unapproved AMIs. Program the Lambda function to send an Amazon Simple Notification Service (Amazon SNS) message to the SysOps administrator to terminate those EC2 instances.
  • B. Add a tag to the approved AMIs. Create an IAM policy that includes a tag condition that allows users to launch EC2 instances from only the tagged AMIs.
  • C. Use AWS Trusted Advisor to check for EC2 instances that are launched from unapproved AMIs.Configure Trusted Advisor to invoke an AWS Lambda function to terminate those EC2 instances.
  • D. Create a service-linked role. Attach a policy that denies the ability to launch EC2 instances from a list of unapproved AMIs. Assign the role to users.
Answer: B
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Documents:
The requirement is preventative: stop users from launching from unapproved AMIs. The most scalable approach with 75 approved AMIs is to tag all approved AMIs (for example, ApprovedAMI=true) and enforce usage through an IAM policy condition that only allows ec2:RunInstances when the ec2:ImageId resource (the AMI) includes the required tag. This avoids maintaining long allow/deny lists of AMI IDs and supports continuous updates: as new approved AMIs are created, tagging them automatically brings them under the policy without policy rewrites.
Option B is incorrect because service-linked roles are used by AWS services, not assigned to users for interactive authorization enforcement in this way. Option C and D are detective/remedial controls that act after instances are already launched, which does not satisfy "must prevent." They also increase operational overhead and risk disruptions.
References:
IAM User Guide - Tag-based access control using resource tags (aws:ResourceTag) Amazon EC2 User Guide - IAM controls for RunInstances and AMI selection AWS SysOps Administrator Study Guide - Governance and preventative controls

NEW QUESTION # 111
......
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