Question # 1
An application is using Amazon Cognito user pools and identity pools for secure access. A developer wants to integrate the user-specific file upload and download features in the application with Amazon S3. The developer must ensure that the files are saved and retrieved in a secure manner and that users can access only their own files. The file sizes range from 3 KB to 300 MB.
Which option will meet these requirements with the HIGHEST level of security? | A. Use S3 Event Notifications to validate the file upload and download requests and update the user interface (UI).
| B. Save the details of the uploaded files in a separate Amazon DynamoDB table. Filter the list of files in the user interface (UI) by comparing the current user ID with the user ID associated with the file in the table.
| C. Use Amazon API Gateway and an AWS Lambda function to upload and download files. Validate each request in the Lambda function before performing the requested operation.
| D. Use an IAM policy within the Amazon Cognito identity prefix to restrict users to use their own folders in Amazon S3. |
D. Use an IAM policy within the Amazon Cognito identity prefix to restrict users to use their own folders in Amazon S3.
Question # 2
For a deployment using AWS Code Deploy, what is the run order of the hooks for in-place deployments?
| A. BeforeInstall -> ApplicationStop -> ApplicationStart -> AfterInstall
| B. ApplicationStop -> BeforeInstall -> AfterInstall -> ApplicationStart
| C. BeforeInstall -> ApplicationStop -> ValidateService -> ApplicationStart
| D. ApplicationStop -> BeforeInstall -> ValidateService -> ApplicationStart |
B. ApplicationStop -> BeforeInstall -> AfterInstall -> ApplicationStart
Question # 3
A company has a multi-node Windows legacy application that runs on premises. The application uses a network shared folder as a centralized configuration repository to store configuration files in .xml format. The company is migrating the application to Amazon EC2 instances. As part of the migration to AWS, a developer must identify a solution that provides high availability for the repository.
Which solution will meet this requirement MOST cost-effectively?
| A. Mount an Amazon Elastic Block Store (Amazon EBS) volume onto one of the EC2 instances. Deploy a file system on the EBS volume. Use the host operating system to share a folder. Update the application code to read and write configuration files from the shared folder.
| B. Deploy a micro EC2 instance with an instance store volume. Use the host operating system to share a folder. Update the application code to read and write configuration files from the shared folder.
| C. Create an Amazon S3 bucket to host the repository. Migrate the existing .xml files to the S3 bucket. Update the application code to use the AWS SDK to read and write configuration files from Amazon S3.
| D. Create an Amazon S3 bucket to host the repository. Migrate the existing .xml files to the S3 bucket. Mount the S3 bucket to the EC2 instances as a local volume. Update the application code to read and write configuration files from the disk.
|
C. Create an Amazon S3 bucket to host the repository. Migrate the existing .xml files to the S3 bucket. Update the application code to use the AWS SDK to read and write configuration files from Amazon S3.
Explanation:
Amazon S3 is a service that provides highly scalable, durable, and secure object storage. The developer can create an S3 bucket to host the repository and migrate the existing .xml files to the S3 bucket. The developer can update the application code to use the AWS SDK to read and write configuration files from S3. This solution will meet the requirement of high availability for the repository in a cost-effective way.
References:
• [Amazon Simple Storage Service (S3)]
• [Using AWS SDKs with Amazon S3]
Question # 4
A company has installed smart motes in all Its customer locations. The smart meter’s measure power usage at 1minute intervals and send the usage readings to a remote endpoint tot collection. The company needs to create an endpoint that will receive the smart meter readings and store the readings in a database.
The company wants to store the location ID and timestamp information.
The company wants to give Is customers low-latency access to their current usage and historical usage on demand The company expects demand to increase significantly. The solution must not impact performance or include downtime write seeing.
When solution will meet these requirements MOST cost-effectively?
| A. Store the smart meter readings in an Amazon RDS database. Create an index on the location ID and timestamp columns Use the columns to filter on the customers ‘data.
| B. Store the smart motor readings m an Amazon DynamoDB table Croato a composite Key oy using the location ID and timestamp columns. Use the columns to filter on the customers' data.
| C. Store the smart meter readings in Amazon EastCache for Reds Create a Sorted set key y using the location ID and timestamp columns. Use the columns to filter on the customers’ data.
| D. Store the smart meter readings m Amazon S3 Parton the data by using the location ID and timestamp columns. Use Amazon Athena lo tiler on me customers' data.
|
B. Store the smart motor readings m an Amazon DynamoDB table Croato a composite Key oy using the location ID and timestamp columns. Use the columns to filter on the customers' data.
Explanation:
The solution that will meet the requirements most cost-effectively is to store the smart meter readings in an Amazon DynamoDB table. Create a composite key by using the location ID and timestamp columns. Use the columns to filter on the customers’ data. This way, the company can leverage the scalability, performance, and low latency of DynamoDB to store and retrieve the smart meter readings.
The company can also use the composite key to query the data by location ID and timestamp efficiently. The other options either involve more expensive or less scalable services, or do not provide low-latency access to the current usage.
Reference: [Reference: Working with Queries in DynamoDB, , ]
Question # 5
A developer is creating a new REST API by using Amazon API Gateway and AWS Lambda. The development team tests the API and validates responses for the known use cases before deploying the API to the production environment.
The developer wants to make the REST API available for testing by using API Gateway locally.
Which AWS Serverless Application Model Command Line Interface (AWS SAM CLI) subcommand will meet these requirements?
| A. Sam local invoke
| B. Sam local generate-event
| C. Sam local start-lambda
| D. Sam local start-api
|
D. Sam local start-api
Explanation:
The AWS Serverless Application Model Command Line Interface (AWS SAM CLI) is a command-line tool for local development and testing of Serverless applications2. The sam local start-api subcommand of AWS SAM CLI is used to simulate a REST API by starting a new local endpoint3. Therefore, option D is correct.
Question # 6
A developer has an application that stores data in an Amazon S3 bucket. The application uses an HTTP API to store and retrieve objects. When the PutObject API operation adds objects to the S3 bucket the developer must encrypt these objects at rest by using server-side encryption with Amazon S3 managed keys (SSE-S3).
Which solution will meet this requirement?
| A. Create an AWS Key Management Service (AWS KMS) key. Assign the KMS key to the S3 bucket
| B. Set the x-amz-server-side-encryption header when invoking the PutObject API operation.
| C. Provide the encryption key in the HTTP header of every request.
| D. Apply TLS to encrypt the traffic to the S3 bucket.
|
B. Set the x-amz-server-side-encryption header when invoking the PutObject API operation.
Explanation:
Amazon S3 supports server-side encryption, which encrypts data at rest on the server that stores the data. One of the encryption options is SSE-S3, which uses keys managed by S3. To use SSE-S3, the x-amz-server-side-encryption header must be set to AES256 when invoking the PutObject API operation. This instructs S3 to encrypt the object data with SSE-S3 before saving it on disks in its data centers and decrypt it when it is downloaded.
Reference:
Protecting data using server-side encryption with Amazon S3-managed encryption keys (SSE-S3)
Question # 7
A company is building a scalable data management solution by using AWS services to improve the speed and agility of development. The solution will ingest large volumes of data from various sources and will process this data through multiple business rules and transformations.
The solution requires business rules to run in sequence and to handle reprocessing of data if errors occur when the business rules run. The company needs the solution to be scalable and to require the least possible maintenance.
Which AWS service should the company use to manage and automate the orchestration of the data flows to meet these requirements? | A. AWS Batch
| B. AWS Step Functions
| C. AWS Glue
| D. AWS Lambda |
B. AWS Step Functions
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