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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Deployment | 24% | - Implement CI/CD pipelines
|
| Topic 2: Troubleshooting and Optimization | 18% | - Optimize application performance
|
| Topic 3: Development with AWS Services | 32% | - Integrate AWS services into applications
|
| Topic 4: Security | 26% | - Secure application data
|
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NEW QUESTION # 86
A developer is creating an AWS Lambda function that will add records to an Amazon DynamoDB table. The table is named "account." The table has a partition key of "id." The Lambda function must not overwrite existing records in the table that have the same primary key as the record that the function attempts to add to the table.
Which solution will meet this requirement?
Answer: D
Explanation:
To prevent overwriting existing records in DynamoDB, the PutItem operation must use a ConditionExpression that ensures the item does not already exist. Using attribute_not_exists(id) guarantees the write only occurs if no record with the same partition key (id) is present. This enforces uniqueness and avoids accidental overwrites.
NEW QUESTION # 87
A developer is creating an Amazon DynamoDB table by using the AWS CLI The DynamoDB table must use server-side encryption with an AWS owned encryption key How should the developer create the DynamoDB table to meet these requirements?
Answer: D
Explanation:
* Default SSE in DynamoDB: DynamoDB tables are encrypted at rest by default using an AWS owned key (SSE-S3).
* No Additional Action Needed: Creating a table without explicitly specifying a KMS key will use this default encryption.
References:
* DynamoDB Server-Side Encryption: https://docs.aws.amazon.com/amazondynamodb/latest
/developerguide/Encryption
NEW QUESTION # 88
A developer needs to export the contents of several Amazon DynamoDB tables into Amazon S3 buckets to comply with company data regulations. The developer uses the AWS CLI to run commands to export from each table to the proper S3 bucket. The developer sets up AWS credentials correctly and grants resources appropriate permissions. However, the exports of some tables fail.
What should the developer do to resolve this issue?
Answer: B
Explanation:
Comprehensive Detailed and Lengthy Step-by-Step Explanation with All AWS Developer Reference:
1. Understanding the Use Case:
The developer needs to export DynamoDB table data into Amazon S3 buckets using the AWS CLI, and some exports are failing. Proper credentials and permissions have already been configured.
2. Key Conditions to Check:
Region Consistency:
DynamoDB exports require that the target S3 bucket and the DynamoDB table reside in the same AWS Region. If they are not in the same Region, the export process will fail.
Point-in-Time Recovery (PITR):
PITR is not required for exporting data from DynamoDB to S3. Enabling PITR allows recovery of table states at specific points in time but does not directly influence export functionality.
DynamoDB Streams:
Streams allow real-time capture of data modifications but are unrelated to the bulk export feature.
DAX (DynamoDB Accelerator):
DAX is a caching service that speeds up read operations for DynamoDB but does not affect the export functionality.
3. Explanation of the Options:
Option A:
"Ensure that point-in-time recovery is enabled on the DynamoDB tables." While PITR is useful for disaster recovery and restoring table states, it is not required for exporting data to S3. This option does not address the export failure.
Option B:
"Ensure that the target S3 bucket is in the same AWS Region as the DynamoDB table." This is the correct answer. DynamoDB export functionality requires the target S3 bucket to reside in the same AWS Region as the DynamoDB table. If the S3 bucket is in a different Region, the export will fail.
Option C:
"Ensure that DynamoDB streaming is enabled for the tables."
Streams are useful for capturing real-time changes in DynamoDB tables but are unrelated to the export functionality. This option does not resolve the issue.
Option D:
"Ensure that DynamoDB Accelerator (DAX) is enabled."
DAX accelerates read operations but does not influence the export functionality. This option is irrelevant to the issue.
4. Resolution Steps:
To ensure successful exports:
Verify the Region of the DynamoDB tables:
Check the Region where each table is located.
Verify the Region of the target S3 buckets:
Confirm that the target S3 bucket for each export is in the same Region as the corresponding DynamoDB table.
If necessary, create new S3 buckets in the appropriate Regions.
Run the export command again with the correct setup:
aws dynamodb export-table-to-point-in-time \
--table-name <TableName> \
--s3-bucket <BucketName> \
--s3-prefix <Prefix> \
--export-time <ExportTime> \
--region <Region>
Reference:
Exporting DynamoDB Data to Amazon S3
S3 Bucket Region Requirements for DynamoDB Exports
AWS CLI Reference for DynamoDB Export
NEW QUESTION # 89
A developer is creating an application that will be deployed on IoT devices. The application will send data to a RESTful API that is deployed as an AWS Lambda function. The application will assign each API request a unique identifier. The volume of API requests from the application can randomly increase at any given time of day.
During periods of request throttling, the application might need to retry requests. The API must be able to handle duplicate requests without inconsistencies or data loss.
Which solution will meet these requirements?
Answer: A
Explanation:
Explanation
Amazon DynamoDB is a fully managed NoSQL database service that can store and retrieve any amount of data with high availability and performance. DynamoDB can handle concurrent requests from multiple IoT devices without throttling or data loss. To prevent duplicate requests from causing inconsistencies or data loss, the Lambda function can use DynamoDB conditional writes to check if the unique identifier for each request already exists in the table before processing the request. If the identifier exists, the function can skip or abort the request; otherwise, it can process the request and store the identifier in the table.
Reference: Using conditional writes
NEW QUESTION # 90
An AWS Lambda function requires read access to an Amazon S3 bucket and requires read/write access to an Amazon DynamoDB table The correct 1AM policy already exists What is the MOST secure way to grant the Lambda function access to the S3 bucket and the DynamoDB table?
Answer: D
Explanation:
Explanation
The most secure way to grant the Lambda function access to the S3 bucket and the DynamoDB table is to create an IAM role for the Lambda function and attach the existing IAM policy to the role. This way, you can use the principle of least privilege and avoid exposing any credentials in your function code or environment variables. You can also leverage the temporary security credentials that AWS provides to the Lambda function when it assumes the role. This solution follows the best practices for working with AWS Lambda functions1 and designing and architecting with DynamoDB2. References
* Best practices for working with AWS Lambda functions
* Best practices for designing and architecting with DynamoDB
NEW QUESTION # 91
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