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Amazon DVA-C02 (AWS Certified Developer – Associate) exam is a certification exam designed for individuals who want to demonstrate their expertise in developing and deploying applications on the Amazon Web Services (AWS) platform. AWS Certified Developer - Associate certification is ideal for developers who have experience in programming languages such as Python, Java, and Ruby, and are looking to build, deploy, and manage applications using AWS services.
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Amazon DVA-C02 (AWS Certified Developer - Associate) certification exam is designed for individuals who have experience in developing and maintaining applications on the Amazon Web Services (AWS) platform. AWS Certified Developer - Associate certification validates the individual's ability to design, deploy, and maintain AWS-based applications using various AWS services and tools.
To prepare for the DVA-C02 exam, candidates should have hands-on experience working with AWS services and should be familiar with AWS best practices. They should also have a good understanding of programming languages such as Java, Python, and Ruby, as well as database technologies such as MySQL and Oracle. Candidates can prepare for the exam by taking online courses, attending AWS training sessions, and practicing with sample questions and scenarios.
Amazon AWS Certified Developer - Associate Sample Questions (Q36-Q41):
NEW QUESTION # 36
A developer is creating an AWS Lambda function in VPC mode. An Amazon S3 event will invoke the Lambda function when an object is uploaded into an S3 bucket. The Lambda function will process the object and produce some analytic results that will be recorded into a file. Each processed object will also generate a log entry that will be recorded into a file.
Other Lambda functions, AWS services, and on-premises resources must have access to the result files and log file. Each log entry must also be appended to the same shared log file. The developer needs a solution that can share files and append results into an existing file.
Which solution should the developer use to meet these requirements?
- A. Create an Amazon Elastic File System (Amazon EFS) file system. Mount the EFS file system in Lambda. Store the result files and log file in the mount point. Append the log entries to the log file.
- B. Create a reference to the /opt storage directory. Store the result files and log file by using the directory reference. Append the log entry to the log file.
- C. Create a reference to the /tmp local directory. Store the result files and log file by using the directory reference. Append the log entry to the log file.
- D. Create an Amazon Elastic Block Store (Amazon EBS) Multi-Attach enabled volume. Attach the EBS volume to all Lambda functions. Update the Lambda function code to download the log file, append the log entries, and upload the modified log file to Amazon EBS.
Answer: A
NEW QUESTION # 37
A developer has written the following IAM policy to provide access to an Amazon S3 bucket:
Which access does the policy allow regarding the s3:GetObject and s3:PutObject actions?
- A. Access on all buckets except the "DOC-EXAMPLE-BUCKET" bucket
- B. Access on all objects in the "DOC-EXAMPLE-BUCKET" bucket along with access to all S3 actions for objects in the "DOC-EXAMPLE-BUCKET" bucket that start with "secrets"
- C. Access on all buckets that start with "DOC-EXAMPLE-BUCKET" except the "DOC-EXAMPLE- BUCKET/secrets" bucket
- D. Access on all objects in the "DOC-EXAMPLE-BUCKET" bucket except on objects that start with
"secrets"
Answer: D
Explanation:
The IAM policy shown in the image is a resource-based policy that grants or denies access to an S3 bucket based on certain conditions. The first statement allows access to any S3 action on any object in the "DOC- EXAMPLE-BUCKET" bucket when the request is made over HTTPS (the value of aws:SecureTransport is true). The second statement denies access to the s3:GetObject and s3:PutObject actions on any object in the
"DOC-EXAMPLE-BUCKET/secrets" prefix when the request is made over HTTP (the value of aws:
SecureTransport is false). Therefore, the policy allows access on all objects in the "DOC-EXAMPLE- BUCKET" bucket except on objects that start with "secrets". Reference: Using IAM policies for Amazon S3
NEW QUESTION # 38
A developer is trying get data from an Amazon DynamoDB table called demoman-table. The developer configured the AWS CLI to use a specific IAM use's credentials and ran the following command.
The command returned errors and no rows were returned.
What is the MOST likely cause of these issues?
- A. The developer needs to log a ticket with AWS Support to enable access to the demoman-table
- B. The command is incorrect; it should be rewritten to use put-item with a string argument
- C. The IAM user needs an associated policy with read access to demoman-table
- D. Amazon DynamoOB cannot be accessed from the AWS CLI and needs to called via the REST API
Answer: C
Explanation:
Explanation
This solution will most likely solve the issues because it will grant the IAM user the necessary permission to access the DynamoDB table using the AWS CLI command. The error message indicates that the IAM user does not have sufficient access rights to perform the scan operation on the table. Option A is not optimal because it will change the command to use put-item instead of scan, which will not achieve the desired result of getting data from the table. Option B is not optimal because it will involve contacting AWS Support, which may not be necessary or efficient for this issue. Option C is not optimal because it will state that DynamoDB cannot be accessed from the AWS CLI, which is incorrect as DynamoDB supports AWS CLI commands.
References: AWS CLI for DynamoDB, [IAM Policies for DynamoDB]
NEW QUESTION # 39
A developer is creating an application that will give users the ability to store photos from their cellphones in the cloud. The application needs to support tens of thousands of users. The application uses an Amazon API Gateway REST API that is integrated with AWS Lambda functions to process the photos. The application stores details about the photos in Amazon DynamoDB.
Users need to create an account to access the application. In the application, users must be able to upload photos and retrieve previously uploaded photos. The photos will range in size from 300 KB to 5 MB.
Which solution will meet these requirements with the LEAST operational overhead?
- A. Use Amazon Cognito user pools to manage user accounts. Create an Amazon Cognito user pool authorizer in API Gateway to control access to the API. Use the Lambda function to store the photos in Amazon S3. Store the object's S3 key as part of the photo details in the DynamoDB table. Retrieve previously uploaded photos by querying DynamoDB for the S3 key.
- B. Create an IAM user for each user of the application during the sign-up process. Use IAM authentication to access the API Gateway API. Use the Lambda function to store the photos in Amazon S3. Store the object's S3 key as part of the photo details in the DynamoDB table. Retrieve previously uploaded photos by querying DynamoDB for the S3 key.
- C. Create a users table in DynamoDB. Use the table to manage user accounts. Create a Lambda authorizer that validates user credentials against the users table. Integrate the Lambda authorizer with API Gateway to control access to the API. Use the Lambda function to store the photos in Amazon S3. Store the object's S3 key as par of the photo details in the DynamoDB table. Retrieve previously uploaded photos by querying DynamoDB for the S3 key.
- D. Use Amazon Cognito user pools to manage user accounts. Create an Amazon Cognito user pool authorizer in API Gateway to control access to the API. Use the Lambda function to store the photos and details in the DynamoDB table. Retrieve previously uploaded photos directly from the DynamoDB table.
Answer: A
Explanation:
Explanation
Amazon Cognito user pools is a service that provides a secure user directory that scales to hundreds of millions of users. The developer can use Amazon Cognito user pools to manage user accounts and create an Amazon Cognito user pool authorizer in API Gateway to control access to the API. The developer can use the Lambda function to store the photos in Amazon S3, which is a highly scalable, durable, and secure object storage service. The developer can store the object's S3 key as part of the photo details in the DynamoDB table, which is a fast and flexible NoSQL database service. The developer can retrieve previously uploaded photos by querying DynamoDB for the S3 key and fetching the photos from S3. This solution will meet the requirements with the least operational overhead.
References:
[Amazon Cognito User Pools]
[Use Amazon Cognito User Pools - Amazon API Gateway]
[Amazon Simple Storage Service (S3)]
[Amazon DynamoDB]
NEW QUESTION # 40
A developer is working on a serverless application that needs to process any changes to an Amazon DynamoDB table with an AWS Lambda function.
How should the developer configure the Lambda function to detect changes to the DynamoDB table?
- A. Create an Amazon Kinesis Data Firehose delivery stream, and attach it to the DynamoDB table.Configure the delivery stream destination as the Lambda function.
- B. Create an Amazon EventBridge rule to invoke the Lambda function on a regular schedule.
Conned to the DynamoDB table from the Lambda function to detect changes.
- C. Enable DynamoDB Streams on the table. Create a trigger to connect the DynamoDB stream to the Lambda function.
- D. Create an Amazon Kinesis data stream, and attach it to the DynamoDB table. Create a trigger to connect the data stream to the Lambda function.
Answer: C
Explanation:
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Streams.Lambda.html
NEW QUESTION # 41
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