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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Security | 26% | - Data security
|
| Topic 2: Troubleshooting and Optimization | 18% | - Monitoring and logging
|
| Topic 3: Development with AWS Services | 32% | - Application development and integration
|
| Topic 4: Deployment | 24% | - Infrastructure as code
|
>> DVA-C02 Reliable Test Objectives <<
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NEW QUESTION # 554
A developer is designing a game that stores data in an Amazon DynamoDB table. The partition key of the table is the country of the player. After a sudden increase in the number of players in a specific country, the developer notices ProvisionedThroughputExceededException errors.
What should the developer do to resolve these errors?
Answer: B
Explanation:
The ProvisionedThroughputExceededException error in DynamoDB occurs when your application exceeds the provisioned read or write capacity for a specific partition. In this case, the partition key is the country of the player, and it appears that a sudden increase in the number of players from a specific country is causing the partition to become "hot," meaning that the requests for that partition are exceeding the available throughput.
To resolve this issue, the developer should consider revising the primary key to spread the load more evenly across partitions. Using more unique identifiers for the partition key, such as adding an additional attribute (e.g., player ID, country + player ID, or a timestamp) can help distribute the data more evenly, preventing any single partition from becoming a hotspot.
NEW QUESTION # 555
A company built an online event platform. For each event, the company organizes quizzes and generates leaderboards that are based on the quiz scores. The company stores the leaderboard data in Amazon DynamoDB and retains the data for 30 days after an event is complete. The company then uses a scheduled job to delete the old leaderboard data.
The DynamoDB table is configured with a fixed write capacity. During the months when many events occur, the DynamoDB write API requests are throttled when the scheduled delete job runs.
A developer must create a long-term solution that deletes the old leaderboard data and optimizes write throughput.
Which solution meets these requirements?
Answer: D
NEW QUESTION # 556
A company hosts a client-side web application for one of its subsidiaries on Amazon S3. The web application can be accessed through Amazon CloudFront from https://www.example.com. After a successful rollout, the company wants to host three more client-side web applications for its remaining subsidiaries on three separate S3 buckets.
To achieve this goal, a developer moves all the common JavaScript files and web fonts to a central S3 bucket that serves the web applications. However, during testing, the developer notices that the browser blocks the JavaScript files and web fonts.
What should the developer do to prevent the browser from blocking the JavaScript files and web fonts?
Answer: C
Explanation:
Explanation
This is a frequent trouble. Web applications cannot access the resources in other domains by default, except some exceptions. You must configure CORS on the resources to be accessed.
https://docs.aws.amazon.com/AmazonS3/latest/userguide/cors.html
NEW QUESTION # 557
A developer is creating a serverless application that uses an AWS Lambda function The developer will use AWS CloudFormation to deploy the application The application will write logs to Amazon CloudWatch Logs The developer has created a log group in a CloudFormation template for the application to use The developer needs to modify the CloudFormation template to make the name of the log group available to the application at runtime Which solution will meet this requirement?
Answer: A
Explanation:
Explanation
FunctionName: MyLambdaFunction
Code:
S3Bucket: your-lambda-code-bucket
S3Key: lambda-code.zip
Runtime: nodejs14.x # Specify the desired runtime for your Lambda function Environment:
Variables:
LOG_GROUP_NAME: !Ref MyLogGroup
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-logs-loggroup.html
NEW QUESTION # 558
A developer used the AWS SDK to create an application that aggregates and produces log records for 10 services. The application delivers data to an Amazon Kinesis Data Streams stream. Each record contains a log message with a service name, creation timestamp, and other log information. The stream has 15 shards in provisioned capacity mode. The stream uses service name as the partition key.
The developer notices that when all the services are producing logs,
ProvisionedThroughputExceededException errors occur during PutRecord requests. The stream metrics show that the write capacity the applications uses is below the provisioned capacity.
Which solution will most effectively resolve the throttling issue?
Answer: C
Explanation:
Issue Analysis:
The stream uses service name as the partition key. This can cause "hot partition" issues when a few service names generate significantly more logs compared to others, causing uneven distribution of data across shards.
Metrics show that the write capacity used is below provisioned capacity, which confirms that the throughput errors are due to shard-level limits and not overall capacity.
By changing the partition key to the creation timestamp (or a composite key including timestamp), the distribution of data across shards can be randomized, ensuring an even spread of records.
This resolves the shard overutilization issue and eliminates
ProvisionedThroughputExceededException.
NEW QUESTION # 559
......
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