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Amazon AWS Certified Developer - Associate Sample Questions (Q133-Q138):

NEW QUESTION # 133
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.)

A. Use a PutRecord API instead of PutRecords.
B. Reduce the number of KCL consumers.
C. Reduce the frequency and/or size of the requests.
D. Implement retries with exponential backoff.
E. Use Amazon SNS instead of Kinesis.

Answer: C,D

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 # 134
An application that runs on AWS Lambda requires access to specific highly confidential objects in an Amazon S3 bucket. In accordance with the principle of least privilege, a company grants access to the S3 bucket by using only temporary credentials.
How can a developer configure access to the S3 bucket in the MOST secure way?

A. Hardcode the credentials that are required to access the S3 objects in the application code. Use the credentials to access the required S3 objects.
B. Create a secret access key and access key ID with permission to access the S3 bucket. Store the key and key ID in AWS Secrets Manager. Configure the application to retrieve the Secrets Manager secret and use the credentials to access the S3 objects.
C. Create a secret access key and access key ID with permission to access the S3 bucket. Store the key and key ID as environment variables in Lambda. Use the environment variables to access the required S3 objects.
D. Create a Lambda function execution role. Attach a policy to the role that grants access to specific objects in the S3 bucket.

Answer: D

Explanation:
https://docs.aws.amazon.com/lambda/latest/operatorguide/least-privilege.html

NEW QUESTION # 135
When using the AWS Encryption SDK how does the developer keep track of the data encryption keys used to encrypt data?

A. The developer must manually keep Hack of the data encryption keys used for each data object.
B. The SDK encrypts the data encryption key and stores it (encrypted) as part of the resumed ophertext.
C. The data encryption key is stored m the user data for the EC2 instance.
D. The SDK stores the data encryption keys automaticity in Amazon S3.

Answer: B

Explanation:
This solution will meet the requirements by using AWS Encryption SDK, which is a client-side encryption library that enables developers to encrypt and decrypt data using data encryption keys that are protected by AWS Key Management Service (AWS KMS). The SDK encrypts the data encryption key with a customer master key (CMK) that is managed by AWS KMS, and stores it (encrypted) as part of the returned ciphertext.
The developer does not need to keep track of the data encryption keys used to encrypt data, as they are stored with the encrypted data and can be retrieved and decrypted by using AWS KMS when needed. Option A is not optimal because it will require manual tracking of the data encryption keys used for each data object, which is error-prone and inefficient. Option C is not optimal because it will store the data encryption keys automatically in Amazon S3, which is unnecessary and insecure as Amazon S3 is not designed for storing encryption keys. Option D is not optimal because it will store the data encryption key in the user data for the EC2 instance, which is also unnecessary and insecure as user data is not encrypted by default.

NEW QUESTION # 136
A developer wants to expand an application to run in multiple AWS Regions. The developer wants to copy Amazon Machine Images (AMIs) with the latest changes and create a new application stack in the destination Region. According to company requirements, all AMIs must be encrypted in all Regions. However, not all the AMIs that the company uses are encrypted.
How can the developer expand the application to run in the destination Region while meeting the encryption requirement?

A. Use AWS Key Management Service (AWS KMS) to enable encryption on the unencrypted AMIs.
Copy the encrypted AMIs to the destination Region.
B. Create new AMIs, and specify encryption parameters. Copy the encrypted AMIs to the destination Region. Delete the unencrypted AMIs.
C. Copy the unencrypted AMIs to the destination Region. Enable encryption by default in the destination Region.
D. Use AWS Certificate Manager (ACM) to enable encryption on the unencrypted AMIs. Copy the encrypted AMIs to the destination Region.

Answer: B

Explanation:
Explanation
Amazon Machine Images (AMIs) are encrypted snapshots of EC2 instances that can be used to launch new instances. The developer can create new AMIs from the existing instances and specify encryption parameters.
The developer can copy the encrypted AMIs to the destination Region and use them to create a new application stack. The developer can delete the unencrypted AMIs after the encryption process is complete.
This solution will meet the encryption requirement and allow the developer to expand the application to run in the destination Region.
References:
[Amazon Machine Images (AMI) - Amazon Elastic Compute Cloud]
[Encrypting an Amazon EBS Snapshot - Amazon Elastic Compute Cloud]
[Copying an AMI - Amazon Elastic Compute Cloud]

NEW QUESTION # 137
A company runs a new application on AWS Elastic Beanstalk. The company needs to deploy updates to the application. The updates must not cause any downtime for application users. The deployment must forward a specified percentage of incoming client traffic to a new application version during an evaluation period.
Which deployment type will meet these requirements?

A. Rolling
B. Traffic-splitting
C. In-place
D. Immutable

Answer: B

Explanation:
AWS Elastic Beanstalk supports several deployment policies, and in this case, the requirement is to forward a specific percentage of traffic to the new version without causing downtime. The Traffic-splitting deployment policy is the most appropriate choice.
Traffic-splitting Deployment: This deployment method allows you to gradually shift a specified percentage of incoming traffic from the old environment version to the new one. During the evaluation period, if any issues are detected, the traffic can be redirected back to the old version.
No Downtime: This method ensures no downtime since both versions of the application run concurrently, and traffic is split between them.
Alternatives:
Rolling deployments (Option A): These gradually replace instances but may result in partial downtime if some instances fail during deployment.
In-place deployments (Option C): In-place deployments replace instances without creating new ones, which can lead to downtime.
Immutable deployments (Option D): While this ensures no downtime by creating entirely new instances, it doesn't provide traffic splitting during the evaluation phase.
Reference:
Elastic Beanstalk Deployment Policies

NEW QUESTION # 138
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