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| Section | Weight | Objectives |
|---|---|---|
| Networking and Content Delivery | 18% | - Implement and manage networking configurations
|
| Monitoring, Logging, Analysis, Remediation, and Performance Optimization | 22% | - Optimize performance of AWS resources
|
| Reliability and Business Continuity | 22% | - Implement backup and recovery strategies
|
| Security and Compliance | 16% | - Implement and manage security controls
|
| Deployment, Provisioning, and Automation | 22% | - Provision and maintain AWS resources
|
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NEW QUESTION # 293
A company uses default settings to create an AWS Lambda function. The function needs to access an Amazon RDS database that is in a private subnet of a VPC. The function has the correct IAM permissions to access the database. The private subnet has appropriate routing configurations and is accessible from within the VPC.
However, the Lambda function is unable to connect to the RDS instance.
What is the likely reason the Lambda function cannot connect to the RDS instance?
Answer: C
Explanation:
By default, a newly created AWS Lambda function is not attached to a customer VPC. In its default configuration, Lambda runs in an AWS-managed network environment and can reach public internet endpoints, but it does not automatically have network-level connectivity into private subnets within a VPC.
Accessing an Amazon RDS instance that is placed in a private subnet requires the Lambda function to be configured for VPC access. This means selecting the target VPC, choosing subnets (typically private subnets with appropriate routing), and associating one or more security groups with the Lambda function's elastic network interfaces (ENIs). Once configured, Lambda creates ENIs in the selected subnets and uses them to communicate with resources such as RDS inside the VPC.
In this scenario, the RDS database is in a private subnet and is reachable from within the VPC, but the Lambda function cannot connect. The most likely cause is that the function was created with default settings and therefore was not deployed into the VPC that contains the database. IAM permissions are not sufficient for network connectivity; IAM controls authorization to call AWS APIs, while VPC attachment and security groups control the network path.
Option A is incorrect because Lambda does not require an "RDS destination" setting; connectivity is established through VPC networking and the database endpoint. Option C is not supported by the prompt; there is no indication that the database is in a different VPC, and the default issue is usually "not in a VPC at all." Option D is less likely because Lambda security groups allow all outbound traffic by default unless explicitly restricted; the more common default failure is lack of VPC configuration.
Therefore, the likely reason is that the Lambda function was not configured to run in the same VPC as the RDS instance.
NEW QUESTION # 294
A company hosts a production MySQL database on an Amazon Aurora single-node DB cluster. The database is queried heavily for reporting purposes. The DB cluster is experiencing periods of performance degradation because of high CPU utilization and maximum connections errors. A CloudOps engineer needs to improve the stability of the database.
Which solution will meet these requirements?
Answer: C
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Doocuments:
Amazon Aurora supports up to 15 Aurora Replicas that share the same storage volume and provide read scaling and improved availability. Official guidance states that replicas "offload read traffic from the writer" and that you should direct read-only workloads to the reader endpoint, reducing CPU pressure and connection counts on the primary. Aurora also supports Replica Auto Scaling through Application Auto Scaling policies using metrics such as CPU utilization or connections to add or remove replicas automatically. This design addresses both high CPU and maximum connections by moving reporting traffic to read replicas while keeping a single write primary for OLTP. Option B creates a separate cluster with independent storage, increasing operational overhead and data synchronization complexity. Options C and D introduce application- layer caching changes that may not guarantee data freshness or relieve the write node directly. Therefore, adding read replicas and routing reporting to the reader endpoint, with auto scaling based on load, is the least intrusive, CloudOps-aligned way to stabilize performance.
References:* Amazon Aurora - Replicas and Reader Endpoint (Aurora User Guide)* Aurora Replica Auto Scaling (Aurora & Application Auto Scaling Guides)* AWS Well-Architected Framework - Reliability & Performance Efficiency
NEW QUESTION # 295
A web application runs on Amazon EC2 instances in the us-east-1 Region and the us-west-2 Region. The instances run behind an Application Load Balancer (ALB) in each Region. An Amazon Route 53 hosted zone controls DNS records.
The instances in us-east-1 are production resources. The instances in us-west-2 are for disaster recovery. EC2 Auto Scaling groups are configured based on the ALBRequestCountPerTarget metric in both Regions.
A SysOps administrator must implement a solution that provides failover from us-east-1 to us- west-2. The instances in us-west-2 must be used only for failover.
Which solution will meet these requirements?
Answer: C
Explanation:
The requirement is classic active-passive (production in us-east-1, DR in us-west-2 "only for failover"). The most operationally efficient and purpose-built solution is Route 53 failover routing combined with health checks. With failover routing, Route 53 designates one record as PRIMARY (us- east-1) and another as SECONDARY (us-west-2). Route 53 continuously evaluates the health check associated with the primary endpoint (commonly the ALB DNS name or a specific health-check path). If the primary fails, Route 53 automatically returns the secondary record, directing client DNS resolution to the DR region. This ensures us-west-2 is used only when us- east-1 is unhealthy, directly matching the requirement.
NEW QUESTION # 296
A company uses an AWS Lambda function to process user uploads to an Amazon S3 bucket.
The Lambda function runs in response to Amazon S3 PutObject events.
A SysOps administrator needs to set up monitoring for the Lambda function. The SysOps administrator wants to receive a notification through an Amazon Simple Notification Service (Amazon SNS) topic if the function takes more than 10 seconds to process an event.
Which solution will meet this requirement?
Answer: A
Explanation:
AWS Lambda automatically publishes operational metrics to Amazon CloudWatch, including Duration, which represents the time a function invocation takes to run. To alert when processing time exceeds 10 seconds, the most direct and operationally efficient solution is to create a CloudWatch alarm on the Lambda Duration metric and configure the alarm action to publish to an SNS topic. This meets the monitoring requirement without requiring log parsing or additional query mechanisms.
Option B fits best because it uses the built-in metric stream for Lambda observability:
CloudWatch metrics are near real-time, require minimal configuration, and alarms are a standard CloudOps practice for proactive notification. The alarm can be configured with the appropriate statistic (for example, Maximum or p99 via metric math where applicable) and a threshold of
10,000 milliseconds, ensuring the operations team is notified before performance degrades further.
NEW QUESTION # 297
A company with millions of subscribers needs to automatically send notifications every Saturday.
The company already uses Amazon SNS to send messages but has historically sent them manually.
Which solution will meet these requirements in the MOST operationally efficient way?
Answer: B
Explanation:
Per the AWS Cloud Operations and Event Management documentation, Amazon EventBridge provides native scheduling capabilities that can trigger events at defined intervals--such as weekly, daily, or cron-based schedules.
Creating an EventBridge rule that runs every Saturday and publishes a message to an SNS topic fully automates the notification process without maintaining servers or manual jobs. This approach is serverless, highly reliable, and fully managed by AWS.
EC2 cron jobs (Option A) require instance management, patching, and cost overhead.
SNS subscriptions (Option C) handle message delivery, not scheduling.
Step Functions (Option D) are designed for complex workflows, not simple scheduled triggers.
Thus, Option B provides the most operationally efficient CloudOps solution by integrating EventBridge scheduled events with SNS topics for automated, recurring notifications.
NEW QUESTION # 298
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