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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Security | 26% | - Data security
|
| Topic 2: Troubleshooting and Optimization | 18% | - Performance optimization
|
| Topic 3: Deployment | 24% | - CI/CD and deployment strategies
|
| Topic 4: Development with AWS Services | 32% | - AWS core services development
|
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NEW QUESTION # 50
A social media company is designing a platform that allows users to upload data, which is stored in Amazon S3. Users can upload data encrypted with a public key. The company wants to ensure that only the company can decrypt the uploaded content using an asymmetric encryption key. The data must always be encrypted in transit and at rest.
Options:
Answer: B
Explanation:
Step 1: Problem Understanding
* Asymmetric Encryption Requirement: Users encrypt data with a public key, and only the company can decrypt it using a private key.
* Data Encryption at Rest and In Transit: The data must be encrypted during upload (in transit) and when stored in Amazon S3 (at rest).
Step 2: Solution Analysis
* Option A: Server-side encryption with Amazon S3 managed keys (SSE-S3).
* Amazon S3 manages the encryption and decryption keys.
* This does not meet the requirement for asymmetric encryption, where the company uses a private key.
* Not suitable.
* Option B: Server-side encryption with customer-provided keys (SSE-C).
* Requires the user to supply encryption keys during the upload process.
* Does not align with the asymmetric encryption requirement.
* Not suitable.
* Option C: Client-side encryption with a data key.
* Data key encryption is symmetric, not asymmetric.
* Does not satisfy the requirement for a public-private key pair.
* Not suitable.
* Option D: Client-side encryption with a customer-managed encryption key.
* Data is encrypted on the client side using the public key.
* Only the company can decrypt the data using the corresponding private key.
* Data remains encrypted during upload (in transit) and in S3 (at rest).
* Correct option.
Step 3: Implementation Steps for Option D
* Generate Key Pair:
* The company generates an RSA key pair (public/private) for encryption and decryption.
* Encrypt Data on Client Side:
* Use the public key to encrypt the data before uploading to S3.
* S3 Upload:
* Upload the encrypted data to S3 over an HTTPS connection.
* Decrypt Data on the Server:
* Use the private key to decrypt data when needed.
AWS Developer References:
* Amazon S3 Encryption Options
* Asymmetric Key Cryptography in AWS
NEW QUESTION # 51
A company wants to deploy and maintain static websites on AWS. Each website's source code is hosted in one of several version control systems, including AWS CodeCommit, Bitbucket, and GitHub.
The company wants to implement phased releases by using development, staging, user acceptance testing, and production environments in the AWS Cloud. Deployments to each environment must be started by code merges on the relevant Git branch. The company wants to use HTTPS for all data exchange. The company needs a solution that does not require servers to run continuously.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: D
Explanation:
AWS Amplify is a set of tools and services that enables developers to build and deploy full-stack web and mobile applications that are powered by AWS. AWS Amplify supports hosting static websites on Amazon S3 and Amazon CloudFront, with HTTPS enabled by default. AWS Amplify also integrates with various version control systems, such as AWS CodeCommit, Bitbucket, and GitHub, and allows developers to connect different branches to different environments. AWS Amplify automatically builds and deploys the website whenever code changes are merged to a connected branch, enabling phased releases with minimal operational overhead. Reference: AWS Amplify Console
NEW QUESTION # 52
An application is processing clickstream data using Amazon Kinesis. The clickstream data feed into Kinesis experiences periodic spikes. The PutRecords API call occasionally fails and the logs show that the failed call returns the response shown below:
Which techniques will help mitigate this exception? (Choose two.)
Answer: D,E
Explanation:
Explanation
The response from the API call indicates that the ProvisionedThroughputExceededException exception has occurred. This exception means that the rate of incoming requests exceeds the throughput limit for one or more shards in a stream. To mitigate this exception, the developer can use one or more of the following techniques:
Implement retries with exponential backoff. This will introduce randomness in the retry intervals and avoid overwhelming the shards with retries.
Reduce the frequency and/or size of the requests. This will reduce the load on the shards and avoid throttling errors.
Increase the number of shards in the stream. This will increase the throughput capacity of the stream and accommodate higher request rates.
Use a PutRecord API instead of PutRecords. This will reduce the number of records per request and avoid exceeding the payload limit.
References:
[ProvisionedThroughputExceededException - Amazon Kinesis Data Streams Service API Reference]
[Best Practices for Handling Kinesis Data Streams Errors]
NEW QUESTION # 53
A company needs to set up secure database credentials for all its AWS Cloud resources. The company's resources include Amazon RDS DB instances, Amazon DocumentDB clusters, and Amazon Aurora DB instances. The company's security policy mandates that database credentials be encrypted at rest and rotated at a regular interval. Which solution will meet these requirements MOST securely?
Answer: A
Explanation:
AWS Secrets Manager is the most secure and purpose-built service for managing database credentials, supporting automatic rotation, encryption at rest, and fine-grained access control.
Using the SecretsManagerRotationTemplate with a Lambda function enables automatic rotation according to a defined schedule, fulfilling both security and policy requirements for RDS, DocumentDB, and Aurora.
NEW QUESTION # 54
A developer is designing an AWS Lambda function that creates temporary files that are less than 10 MB during invocation. The temporary files will be accessed and modified multiple times during invocation. The developer has no need to save or retrieve these files in the future.
Where should the temporary files be stored?
Answer: B
Explanation:
Explanation
AWS Lambda is a service that lets developers run code without provisioning or managing servers. Lambda provides a local file system that can be used to store temporary files during invocation. The local file system is mounted under the /tmp directory and has a limit of 512 MB. The temporary files are accessible only by the Lambda function that created them and are deleted after the function execution ends. The developer can store temporary files that are less than 10 MB in the /tmp directory and access and modify them multiple times during invocation.
References:
[What Is AWS Lambda? - AWS Lambda]
[AWS Lambda Execution Environment - AWS Lambda]
NEW QUESTION # 55
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