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2025 Reliable AWS-Solutions-Architect-Associate Guide Files | High Pass-Rate Amazon AWS-Solutions-Architect-Associate: AWS Certified Solutions Architect - Associate (SAA-C02) 100% Pass

2025 Reliable AWS-Solutions-Architect-Associate Guide Files | High Pass-Rate Amazon AWS-Solutions-Architect-Associate: AWS Certified Solutions Architect - Associate (SAA-C02) 100% Pass

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Amazon AWS Certified Solutions Architect - Associate (SAA-C02) Sample Questions (Q916-Q921):

NEW QUESTION # 916
A financial company needs to handle highly sensitive data The company will store the data in an Amazon S3 bucket The company needs to ensure that the data is encrypted in transit and at rest The company must manage the encryption keys outside the AWS Cloud Which solution will meet these requirements?

  • A. Encrypt the data in the S3 bucket with server-side encryption (SSE) that uses an AWS Key Management Service (AWS KMS) AWS managed key
  • B. Encrypt the data in the S3 bucket with server-side encryption (SSE) that uses an AWS Key Management Service (AWS KMS) customer managed key
  • C. Encrypt the data in the S3 bucket with the default server-side encryption (SSE)
  • D. Encrypt the data at the company's data center before storing the data in the S3 bucket

Answer: D

Explanation:
This option is the only solution that meets the requirements because it allows the company to encrypt the data with its own encryption keys and tools outside the AWS Cloud. By encrypting the data at the company's data center before storing the data in the S3 bucket, the company can ensure that the data is encrypted in transit and at rest, and that the company has full control over the encryption keys and processes. This option also avoids the need to use any AWS encryption services or features, which may not be compatible with the company's security policies or compliance standards.
A). Encrypt the data in the S3 bucket with server-side encryption (SSE) that uses an AWS Key Management Service (AWS KMS) customer managed key. This option does not meet the requirements because it does not allow the company to manage the encryption keys outside the AWS Cloud. Although the company can create and use its own customer managed key in AWSKMS, the key is still stored and managed by AWS KMS, which is a service within the AWS Cloud. Moreover, the company still needs to use the AWS encryption features and APIs to encrypt and decrypt the data in the S3 bucket, which may not be compatible with the company's security policies or compliance standards.
B). Encrypt the data in the S3 bucket with server-side encryption (SSE) that uses an AWS Key Management Service (AWS KMS) AWS managed key. This option does not meet the requirements because it does not allow the company to manage the encryption keys outside the AWS Cloud. In this option, the company uses the default AWS managed key in AWS KMS, which is created and managed by AWS on behalf of the company. The company has no control over the key rotation, deletion, or recovery policies. Moreover, the company still needs to use the AWS encryption features and APIs to encrypt and decrypt the data in the S3 bucket, which may not be compatible with the company's security policies or compliance standards.
C). Encrypt the data in the S3 bucket with the default server-side encryption (SSE). This option does not meet the requirements because it does not allow the company to manage the encryption keys outside the AWS Cloud. In this option, the company uses the default server-side encryption with Amazon S3 managed keys (SSE-S3), which is applied to every bucket in Amazon S3. The company has no visibility or control over the encryption keys, which are managed by Amazon S3. Moreover, the company still needs to use the AWS encryption features and APIs to encrypt and decrypt the data in the S3 bucket, which may not be compatible with the company's security policies or compliance standards.
References:
1 Protecting data with encryption - Amazon Simple Storage Service
2 Protecting data with server-side encryption - Amazon Simple Storage Service
3 Protecting data by using client-side encryption - Amazon Simple Storage Service
4 AWS Key Management Service Concepts - AWS Key Management Service


NEW QUESTION # 917
You are designing a personal document-archiving solution for your global enterprise with thousands of employee. Each employee has potentially gigabytes of data to be backed up in this archiving solution.
The solution will be exposed to the employees as an application, where they can just drag and drop their files to the archiving system. Employees can retrieve their archives through a web interface.
The corporate network has high bandwidth AWS Direct Connect connectivity to AWS. You have a regulatory requirement that all data needs to be encrypted before being uploaded to the cloud.
How do you implement this in a highly available and cost-efficient way?

  • A. Mange encryption keys in a Hardware Security Module (HSM) appliance on-premises serve r with sufficient storage to temporarily store, encrypt, and upload files directly into Amazon Glacier.
  • B. Manage encryption keys in an AWS CloudHSM appliance. Encrypt files prior to uploading on the employee desktop, and then upload directly into Amazon Glacier.
  • C. Manage encryption keys on-premises in an encrypted relational database. Set up an on-premises server with sufficient storage to temporarily store files, and then upload them to Amazon S3, providing a client-side master key.
  • D. Manage encryption keys in Amazon Key Management Service (KMS), upload to Amazon Simple Storage Service (S3) with client-side encryption using a KMS customer master key ID, and configure Amazon S3 lifecycle policies to store each object using the Amazon Glacier storage tier.

Answer: D


NEW QUESTION # 918
An organization is deploying Amazon ElastiCache for Redis and requires password protection to improve their data security posture.
Which solution should a Solutions Architect recommend?

  • A. AWS Single Sign-On
  • B. Redis Auth
  • C. 1AM database authentication
  • D. VPC security group for Redis

Answer: B


NEW QUESTION # 919
A company stores sales transaction data in Amazon DynamoDB tables. To detect anomalous behaviors and respond quickly, all changes to the items stored in the DynamoDB tables must be logged within 30 minutes.
Which solution meets the requirements?

  • A. Copy the DynamoDB tables into Apache Hive tables on Amazon EMR every hour and analyze them for anomalous behaviors. Send Amazon SNS notifications when anomalous behaviors are detected.
  • B. Use AWS CloudTrail to capture all the APIs that change the DynamoDB tables. Send SNS notifications when anomalous behaviors are detected using CloudTrail event filtering.
  • C. Use Amazon DynamoDB Streams to capture and send updates to AWS Lambda. Create a Lambda function to output records to Amazon Kinesis Data Streams. Analyze any anomalies with Amazon Kinesis Data Analytics. Send SNS notifications when anomalous behaviors are detected.
  • D. Use event patterns in Amazon CloudWatch Events to capture DynamoDB API call events with an AWS Lambda function as a target to analyze behavior. Send SNS notifications when anomalous behaviors are detected.

Answer: D


NEW QUESTION # 920
A company has chosen to rehost its application on Amazon EC2 instances The application occasionally experiences errors that affect parts of its functionality The company was unaware of this issue until users reported the errors The company wants to address this problem during the migration and reduce the time it takes to detect issues with the application Log files for the application are stored on the local disk.
A solutions architect needs to design a solution that will alert staff if there are errors in the application after the application is migrated to AWS. The solution must not require additional changes to the application code.
What is the MOST operationally efficient solution that meets these requirements?

  • A. Install the Amazon CloudWatch agent on the instances Configure the CloudWatch agent to stream the application log file to Amazon CloudWatch Logs Run a CloudWatch Logs insights query to search lor the relevant pattern in the log file Create a CloudWatch alarm that is based on the query output
  • B. Install the Amazon CloudWatch agent on the instances Configure the CloudWatch agent to stream the application log file to Amazon CloudWatch Logs. Create a metric fitter for the relevant log group.
    Define the filter pattern that is required to determine that there are errors in the application Create a CloudWatch alarm that is based on the resulting metric.
  • C. Create an hourly cron job on the instances to copy the application log data to an Amazon S3 bucket Configure an AWS Lambda function to scan the log file and publish a message to an Amazon Simple Notification Service (Amazon SNS) topic to alert staff rf errors are detected.
  • D. Configure the application to generate custom metrics tor the errors Send these metric data points to Amazon. CloudWatch by using the PutMetricData API call Create a CloudWatch alarm that is based on the custom metrics

Answer: C


NEW QUESTION # 921
......

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