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Amazon SAA-C03 (Amazon AWS Certified Solutions Architect - Associate) Certification Exam is a highly sought-after certification in the field of cloud computing. AWS has become one of the most widely used cloud computing platforms in the world, and the SAA-C03 certification is the ideal way to demonstrate one's expertise in AWS solutions architecture. AWS Certified Solutions Architect - Associate certification validates the knowledge and skills required to design and deploy scalable, highly available, and fault-tolerant systems on AWS.
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Amazon SAA-C03 (Amazon AWS Certified Solutions Architect - Associate) exam is a certification offered by Amazon Web Services (AWS) for individuals who want to validate their skills and knowledge in designing and deploying scalable, highly available, and fault-tolerant systems on AWS. AWS Certified Solutions Architect - Associate certification is designed for those who have experience in designing distributed applications and systems on the AWS platform using various AWS services and best practices.
NEW QUESTION # 666
[Design Secure Architectures]
A company collects temperature, humidity, and atmospheric pressure data in cities across multiple continents. The average volume of data collected per site each day is 500 GB. Each site has a high-speed internet connection. The company's weather forecasting applications are based in a single Region and analyze the data daily.
What is the FASTEST way to aggregate data from all of these global sites?
Answer: C
Explanation:
You might want to use Transfer Acceleration on a bucket for various reasons, including the following:
You have customers that upload to a centralized bucket from all over the world.
You transfer gigabytes to terabytes of data on a regular basis across continents.
You are unable to utilize all of your available bandwidth over the Internet when uploading to Amazon S3.
https://docs.aws.amazon.com/AmazonS3/latest/dev/transfer-acceleration.html
https://aws.amazon.com/s3/transfer-acceleration/#:~:text=S3%20Transfer%20Acceleration%20(S3TA)%20reduces,to%20S3%20for%20remote%20applications:
"Amazon S3 Transfer Acceleration can speed up content transfers to and from Amazon S3 by as much as 50-500% for long-distance transfer of larger objects. Customers who have either web or mobile applications with widespread users or applications hosted far away from their S3 bucket can experience long and variable upload and download speeds over the Internet"
https://docs.aws.amazon.com/AmazonS3/latest/userguide/mpuoverview.html
"Improved throughput - You can upload parts in parallel to improve throughput."
NEW QUESTION # 667
A company needs a solution to integrate transaction data from several Amazon DynamoDB tables into an existing Amazon Redshift data warehouse. The solution must maintain the provisioned throughput of DynamoDB.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: D
Explanation:
DynamoDB export to Amazon S3 (via point-in-time exports or table backups) "does not consume read capacity" and has no impact on table performance. Once data is in S3, Amazon Redshift can ingest efficiently with COPY from S3, which is the standard, parallel, high-throughput load path with minimal management.
Direct COPY from DynamoDB (B) performs a table scan that can consume provisioned throughput, risking throttling. Building Lambda pipelines (C) adds custom code and scheduling overhead. Athena federated queries (D) are ad hoc analytics, not optimized for bulk, recurring warehouse loads. Therefore, exporting to S3 and loading with Redshift COPY maintains DynamoDB throughput and minimizes operational burden.
References: DynamoDB - "Export to S3 (no RCU consumption)"; Amazon Redshift - "COPY from Amazon S3 (parallel load)"; AWS Big Data best practices - "Stage data in S3 for Redshift loads."
NEW QUESTION # 668
A company has AWS Lambda functions that use environment variables. The company does not want its developers to see environment variables in plaintext.
Which solution will meet these requirements?
Answer: C
Explanation:
AWS Lambda supports encrypting environment variables at rest using AWS KMS. You can use encryption helpers (or Lambda's built-in support) to encrypt sensitive environment variable values using a KMS key. These encrypted variables are not visible in plaintext to developers, either in the console or when running the code.
AWS Documentation Extract:
"AWS Lambda automatically encrypts environment variables at rest. For additional security, you can use AWS KMS keys and encryption helpers to encrypt environment variables, ensuring they are never exposed in plaintext." (Source: AWS Lambda documentation, Environment Variables Security) A: Does not address the issue (and adds more management overhead).
B, C: There is no native support for environment variable encryption via CloudHSM or ACM.
NEW QUESTION # 669
A financial services company must retain log data for 1 year. The company stores log files in an Amazon S3 bucket and wants to prevent any user from deleting or overwriting the log files during this period. The data must remain available for read-only requests.
Answer: B
Explanation:
Comprehensive and Detailed Explanation:
To ensure that log files are immutable and cannot be deleted or overwritten for a specified retention period, Amazon S3 offers Object Lock in Compliance Mode. When enabled:
Compliance Mode: Ensures that a protected object version can't be overwritten or deleted by any user, including the root user in your AWS account, for the duration of the retention period. AWS Documentation S3 Versioning: Must be enabled on the bucket to use Object Lock. This allows multiple versions of an object to be stored, ensuring that previous versions are preserved and protected. Amazon Web Services, Inc.
By enabling S3 Versioning and applying Object Lock in Compliance Mode with a 1-year retention period, the company can meet regulatory requirements to retain log data securely and prevent any modifications or deletions during that time.
NEW QUESTION # 670
A company plans to design a highly available architecture in AWS. They have two target groups with three EC2 instances each, which are added to an Application Load Balancer. In the security group of the EC2 instance, you have verified that port 80 for HTTP is allowed. However, the instances are still showing out of service from the load balancer.
What could be the root cause of this issue?
Answer: D
Explanation:
Since the security group is properly configured, the issue may be caused by a wrong health check configuration in the Target Group.
Your Application Load Balancer periodically sends requests to its registered targets to test their status.
These tests are called health checks. Each load balancer node routes requests only to the healthy targets in the enabled Availability Zones for the load balancer. Each load balancer node checks the health of each target, using the health check settings for the target group with which the target is registered. After your target is registered, it must pass one health check to be considered healthy. After each health check is completed, the load balancer node closes the connection that was established for the health check.
Explanation:
Reference:
http://docs.aws.amazon.com/elasticloadbalancing/latest/classic/elb-healthchecks.html AWS Elastic Load Balancing Overview:
https://www.youtube.com/watch?v=UBl5dw59DO8
Check out this AWS Elastic Load Balancing (ELB) Cheat Sheet:
https://tutorialsdojo.com/aws-elastic-load-balancing-elb/
ELB Health Checks vs Route 53 Health Checks For Target Health Monitoring:
https://tutorialsdojo.com/elb-health-checks-vs-route-53-health-checks-for-target-health-monitoring/
NEW QUESTION # 671
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