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NEW QUESTION # 81
A company hosts an application on AWS that uses a 5 TB Amazon RDS for MySQL database.
The company performs frequent micro updates that cannot be interrupted. Sometimes structural changes to the database cause issues for the application. When an issue occurs, the company immediately receives a notification through automated monitoring.
The company wants to undo the problematic database changes as soon as possible. The company wants to transition from RDS for MySQL to an Amazon Aurora MySQL-Compatible Edition cluster.
Which solution will meet these requirements?
Answer: C
Explanation:
Aurora MySQL-Compatible Edition supports the backtrack feature, which allows the database cluster to be rewound to an earlier point in time without restoring a full snapshot. For a large 5 TB database with frequent updates, backtracking provides a much faster way to undo problematic structural changes while minimizing interruption compared with snapshot restoration.
NEW QUESTION # 82
A company plans to host an application on Amazon EC2 instances distributed across multiple Availability Zones. The application must scale to millions of requests per second and handle sudden and volatile traffic patterns. The solution must use a single static IP address per Availability Zone.
Which solution will meet these requirements?
Answer: A
Explanation:
AWS Global Accelerator provides static IP addresses (one per Availability Zone) and routes traffic over the AWS global network to optimal endpoints. It is designed for applications that require extremely high throughput, low latency, and rapid response to traffic spikes.
Global Accelerator automatically routes traffic to healthy endpoints and shifts traffic in response to failures or performance degradation. It supports sudden and volatile traffic patterns and integrates seamlessly with ALBs, NLBs, and EC2 instances.
ALBs and NLBs do not provide static IP addresses per AZ. SQS is not a traffic distribution service.
Therefore, AWS Global Accelerator is the correct solution.
NEW QUESTION # 83
A media company hosts a public news and video portal on AWS. The portal uses an Amazon DynamoDB table with provisioned capacity to maintain an index of video files that are stored in an Amazon S3 bucket.
During a recent event, millions of visitors came to the portal for news. This increase in traffic caused read requests to be throttled in the DynamoDB table. Videos could not be displayed in the portal.
The company ' s operations team manually increased the provisioned capacity on a temporary basis to meet the demand. The company wants the operations team to receive an alert before the table is throttled in the future. The company has created an Amazon Simple Notification Service (Amazon SNS) topic and has subscribed the operations team ' s email address to the SNS topic.
What should the company do next to meet these requirements?
Answer: A
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Documents:
The requirement is to alert before throttling occurs. For a DynamoDB table in provisioned capacity mode, throttling happens when demand approaches or exceeds provisioned throughput. CloudWatch provides direct table metrics such as ConsumedReadCapacityUnits and ProvisionedReadCapacityUnits (and related utilization signals). Creating an alarm on ConsumedReadCapacityUnits with a threshold set close to the table' s provisioned read capacity provides an early warning that the table is nearing its limit-before actual throttling prevents reads. The alarm can publish directly to the existing SNS topic so the operations team is notified proactively.
Option C and D focus on detecting throttling after it occurs by matching throttling exceptions in logs. That is reactive and violates "before throttled." Option B (auto scaling) may reduce the likelihood of throttling, but it does not directly satisfy the alerting requirement and "scaling events" notifications are not a reliable proxy for
"approaching throttle" (and may not fire early enough depending on scaling configuration). The simplest, most direct CloudOps approach is a CloudWatch alarm on consumption nearing provisioned capacity.
References:
Amazon DynamoDB Developer Guide - Provisioned capacity, throttling behavior, CloudWatch metrics Amazon CloudWatch User Guide - Alarms and SNS notifications AWS SysOps Administrator Study Guide - Monitoring DynamoDB and capacity planning
NEW QUESTION # 84
A company runs a website on Amazon EC2 instances. Users can upload images to an Amazon S3 bucket and publish the images to the website. The company wants to deploy a serverless image-processing application that uses an AWS Lambda function to resize the uploaded images.
The company's development team has created the Lambda function. A CloudOps engineer must implement a solution to invoke the Lambda function when users upload new images to the S3 bucket.
Which solution will meet this requirement?
Answer: C
Explanation:
Use Amazon S3 Event Notifications with AWS Lambda to trigger image processing on object creation. S3 natively supports invoking Lambda for events such as s3:ObjectCreated:*, providing a serverless, low-latency pipeline without managing additional services. AWS operational guidance states that "Amazon S3 can directly invoke a Lambda function in response to object- created events," allowing you to pass event metadata (bucket/key) to the function for resizing and writing results back to S3. This approach minimizes operational overhead, scales automatically with upload volume, and integrates with standard retry semantics. SNS or SQS can be added for fan-out or buffering patterns, but they are not required when the requirement is simply "invoke the Lambda function on upload." CloudWatch alarms do not detect individual S3 object uploads and cannot directly satisfy per-object triggers. Therefore, configuring S3 Lambda event notifications meets the requirement most directly and aligns with CloudOps best practices for event-driven, serverless automation.
NEW QUESTION # 85
A financial services company stores customer images in an Amazon S3 bucket in the us-east-1 Region. To comply with regulations, the company must ensure that all existing objects are replicated to an S3 bucket in a second AWS Region. If an object replication fails, the company must be able to retry replication for the object.
What solution will meet these requirements?
Answer: A
Explanation:
Per the AWS Cloud Operations and S3 Data Management documentation, Cross-Region Replication (CRR) automatically replicates new objects between S3 buckets across Regions. However, CRR alone does not retroactively replicate existing objects created before replication configuration. To include such objects, AWS introduced S3 Batch Replication.
S3 Batch Replication scans the source bucket and replicates all existing objects that were not copied previously. Additionally, it can retry failed replication tasks automatically, ensuring regulatory compliance for complete dataset replication.
S3 Replication Time Control (S3 RTC) guarantees predictable replication times for new objects only-it does not cover previously stored data. S3 Lifecycle rules (Option D) move or transition objects between storage classes or buckets, but not in a replication context.
Therefore, the correct solution is to use S3 Cross-Region Replication (CRR) combined with S3 Batch Replication to ensure all current and future data is synchronized across Regions with retry capability.
Reference: AWS Cloud Operations and S3 Guide - Section: Cross-Region Replication and Batch Replication for Existing Objects
NEW QUESTION # 86
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