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| Topic | Details |
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| Topic 1 | - Deployment, Provisioning, and Automation: This section measures the skills of Cloud Engineers and covers provisioning and maintaining cloud resources using AWS CloudFormation, CDK, and third-party tools. It evaluates automation of deployments, remediation of resource issues, and managing infrastructure using Systems Manager and event-driven processes like Lambda or S3 notifications.
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| Topic 2 | - Reliability and Business Continuity: This section measures the skills of System Administrators and focuses on maintaining scalability, elasticity, and fault tolerance. It includes configuring load balancing, auto scaling, Multi-AZ deployments, implementing backup and restore strategies with AWS Backup and versioning, and ensuring disaster recovery to meet RTO and RPO goals.
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| Topic 3 | - Networking and Content Delivery: This section measures skills of Cloud Network Engineers and focuses on VPC configuration, subnets, routing, network ACLs, and gateways. It includes optimizing network cost and performance, configuring DNS with Route 53, using CloudFront and Global Accelerator for content delivery, and troubleshooting network and hybrid connectivity using logs and monitoring tools.
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| Topic 4 | - Monitoring, Logging, Analysis, Remediation, and Performance Optimization: This section of the exam measures skills of CloudOps Engineers and covers implementing AWS monitoring tools such as CloudWatch, CloudTrail, and Prometheus. It evaluates configuring alarms, dashboards, and notifications, analyzing performance metrics, troubleshooting issues using EventBridge and Systems Manager, and applying strategies to optimize compute, storage, and database performance.
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| Topic 5 | - Security and Compliance: This section measures skills of Security Engineers and includes implementing IAM policies, roles, MFA, and access controls. It focuses on troubleshooting access issues, enforcing compliance, securing data at rest and in transit using AWS KMS and ACM, protecting secrets, and applying findings from Security Hub, GuardDuty, and Inspector.
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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q65-Q70):
NEW QUESTION # 65
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. Cached assets are not expiring in the edge location.
- C. The Expires header has been set to 3 hours.
- D. Cache invalidation is missing in the CloudFront configuration.
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 # 66
A company runs thousands of Amazon EC2 instances that are based on the Amazon Linux 2 Amazon Machine Image (AMI). A SysOps administrator must implement a solution to record commands and output from any user that needs an interactive session on one of the EC2 instances. The solution must log the data to a durable storage location. The solution also must provide automated notifications and alarms that are based on the log data.
Which solution will meet these requirements with the MOST operational efficiency?
- A. Configure command session logging on each EC2 instance. Configure the unified Amazon CloudWatch agent to send session logs to Amazon CloudWatch Logs. Set up query filters and alerts by using Amazon Athena.
- B. Require all users to use a central bastion host when they need command line access to an EC2 instance.
Configure the unified Amazon CloudWatch agent on the bastion host to send session logs to Amazon CloudWatch Logs. Set up a metric filter and a metric alarm for relevant security findings in CloudWatch Logs. - C. Configure command session logging on each EC2 instance. Require all users to use AWS Systems Manager Run Command documents when they need command line access to an EC2 instance.Configure the unified Amazon CloudWatch agent to send session logs to Amazon CloudWatch Logs.Set up CloudWatch alarms that are based on Amazon Athena query results.
- D. Require all users to use AWS Systems Manager Session Manager when they need command line access to an EC2 instance. Configure Session Manager to stream session logs to Amazon CloudWatch Logs.
Set up a metric filter and a metric alarm for relevant security findings in CloudWatch Logs.
Answer: D
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Documents:
The most operationally efficient solution is C because AWS Systems Manager Session Manager is purpose- built for secure, auditable interactive access to EC2 instances at scale-without managing bastion hosts or distributing SSH keys. Session Manager can be configured to log session activity, including commands and output, to durable destinations such as Amazon CloudWatch Logs (and optionally Amazon S3). This directly satisfies the requirement to record interactive sessions and store logs durably.
For automated notifications and alarms, CloudWatch Logs supports metric filters that transform matching log patterns into CloudWatch metrics. Those metrics can then drive CloudWatch alarms and notifications (for example, via Amazon SNS). This is a standard CloudOps pattern: centralize logs, derive metrics from security-relevant patterns, and alert automatically.
Option A and D require installing and operating agents and building a more complex analytics path (Athena queries for alerting), which is less efficient and introduces more moving parts across thousands of instances.
Option B adds a bastion host dependency that becomes an operational burden (scaling, patching, hardening, HA) and a potential choke point. Session Manager reduces these burdens by using SSM Agent already installed, IAM-based access control, and centralized logging/monitoring integrations.
References:
AWS Systems Manager User Guide - Session Manager and session logging to CloudWatch Logs/S3 Amazon CloudWatch Logs User Guide - Metric filters and alarms from log patterns AWS SysOps Administrator Study Guide - Centralized logging, auditing, and operational monitoring
NEW QUESTION # 67
A company hosts a static website on Amazon S3. An Amazon CloudFront distribution presents this site to global users. The company uses the Managed-CachingDisabled CloudFront cache policy. The company's developers confirm that they frequently update a file in Amazon S3 with new information.
Users report that the website presents correct information when the website first loads the file. However, the users' browsers do not retrieve the updated file after a refresh.
What should a SysOps administrator recommend to fix this issue?
- A. Change the CloudFront cache policy to Managed-CachingOptimized.
- B. Add a Cache-Control header field with max-age=0 to the S3 object.
- C. Enable content compression in the CloudFront configuration.
- D. Disable bucket versioning in the S3 bucket configuration.
Answer: B
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Documents:
With the Managed-CachingDisabled policy, CloudFront is configured to minimize edge caching, so the remaining caching behavior users experience often comes from browser (client-side) caching. If users refresh and still see old content, it typically indicates the browser is allowed to reuse a cached copy without revalidating. The correct fix is to control client caching using HTTP response headers on the S3 object.
Adding a Cache-Control: max-age=0 header instructs browsers that the object becomes stale immediately and should be revalidated on subsequent requests (often resulting in conditional requests using If-Modified-Since or ETag behavior). This preserves correctness-users will fetch or revalidate the latest file-without requiring heavier operational actions like frequent CloudFront invalidations or changing to an optimized caching policy that may increase edge caching.
Option B can worsen the issue by increasing caching if object headers permit it. Option C is unrelated; versioning affects object history and recovery, not browser cache behavior. Option D affects payload size transfer (gzip/brotli), not cache freshness.
References:
Amazon CloudFront Developer Guide - Cache policies and cache behavior concepts Amazon S3 User Guide - Object metadata and HTTP Cache-Control headers AWS SysOps Administrator Study Guide - Troubleshooting caching and content freshness
NEW QUESTION # 68
A company uses Amazon ElastiCache (Redis OSS) to cache application data. A CloudOps engineer must implement a solution to increase the resilience of the cache. The solution also must minimize the recovery time objective (RTO).
Which solution will meet these requirements?
- A. Replace ElastiCache (Redis OSS) with ElastiCache (Memcached).
- B. Create an Amazon EventBridge rule to initiate a backup every hour. Restore the backup when necessary.
- C. Enable automatic backups. Restore the backups when necessary.
- D. Create a read replica in a second Availability Zone. Enable Multi-AZ for the ElastiCache (Redis OSS) replication group.
Answer: D
Explanation:
Enabling Multi-AZ with automatic failover for ElastiCache for Redis provides high availability and the lowest possible RTO, as Redis automatically promotes a replica to primary if the primary node fails. This ensures near-instant recovery without manual intervention, unlike backup-based solutions, which involve downtime and manual restores.
NEW QUESTION # 69
A company has an Amazon S3 bucket that has server-side encryption with AWS KMS keys (SSE-KMS) enabled. Several applications read from the S3 bucket for daily reporting. The company clears the data in the S3 bucket weekly when the company moves the data into a data warehouse.
As more applications read from the S3 bucket, the cost of KMS-related transactions is increasing.
A CloudOps engineer needs to reduce the KMS costs without removing S3 encryption and without losing access to existing objects.
Which solution will meet these requirements with the LEAST operational overhead?
- A. Use Amazon CloudFront to cache the objects in the S3 bucket and to serve the objects to the applications.
- B. Change the encryption type on the S3 bucket to server-side encryption with customer-provided keys (SSE-C).
- C. Enable S3 Bucket Keys on the S3 bucket. Specify the existing KMS key.
- D. Configure the applications to connect to the S3 bucket through an S3 access point.
Answer: C
Explanation:
S3 Bucket Keys reduce the number of AWS KMS requests that Amazon S3 makes for objects encrypted with SSE-KMS. Enabling S3 Bucket Keys keeps SSE-KMS encryption in place, can use the existing KMS key, preserves access to existing objects, and reduces KMS-related transaction costs with minimal operational overhead.
NEW QUESTION # 70
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