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Amazon SAA-C03 exam is a certification exam that validates the technical expertise of individuals in designing and deploying scalable and fault-tolerant systems on AWS. SAA-C03 exam tests the candidate's knowledge of AWS services and their ability to design and deploy highly available, cost-effective, and scalable systems on AWS. Candidates who Pass SAA-C03 Exam will demonstrate their ability to design and deploy robust and scalable systems on AWS, which is highly valued by employers. To prepare for the exam, candidates should enroll in AWS training courses, read AWS documentation, and practice with AWS services.
NEW QUESTION # 558
[Design High-Performing Architectures]
A company has a mobile chat application with a data store based in Amazon uynamoUb. users would like new messages to be read with as little latency as possible A solutions architect needs to design an optimal solution that requires minimal application changes.
Which method should the solutions architect select?
Answer: C
Explanation:
https://aws.amazon.com/premiumsupport/knowledge-center/dynamodb-high-latency/ Amazon DynamoDB Accelerator (DAX) is a fully managed in-memory cache for DynamoDB that improves the performance of DynamoDB tables by up to 10 times and provides microsecond level of response time at any scale. It is compatible with DynamoDB API operations and requiresminimal code changes to use1. By configuring DAX for the new messages table, the solution can reduce the latency for reading new messages with minimal application changes.
B . Add DynamoDB read repticas to handle the increased read load. Update the application to point to the read endpoint for the read replicas. This solution will not work, as DynamoDB does not support read replicas as a feature. Read replicas are available for Amazon RDS, not for DynamoDB2.
C . Double the number of read capacity units for the new messages table in DynamoDB. Continue to use the existing DynamoDB endpoint. This solution will not meet the requirement ofreading new messages with aslittle latency as possible, as increasing the read capacity units will only increase the throughput of DynamoDB, not the performance or latency3.
D . Add an Amazon ElastiCache for Redis cache to the application stack. Update the application to point to the Redis cache endpoint instead of DynamoDB. This solution will not meet the requirement of minimal application changes, as adding ElastiCache for Redis will require significant code changes to implement caching logic, such as querying cache first, updating cache after writing to DynamoDB, and invalidating cache when needed.
Reference URL: https://aws.amazon.com/dynamodb/dax/
NEW QUESTION # 559
A company's application runs on AWS. The application stores large documents in an Amazon S3 bucket that uses the S3 Standard-infrequent Access (S3 Standerd-IA) storage class. The company will continue paying to store the data but wants to save on its total S3 costs. The company wants authorized external users to have the ability to access the documents in milliseconds.
Which solution will meet these requirements MOST cost-effectively?
Answer: B
Explanation:
This option is the most efficient because it uses Amazon CloudFront, which is a web service that speeds up distribution of your static and dynamic web content, such as .html, .css, .js, and image files, to your users1. It also uses CloudFront to handle all the requests to the S3 bucket, which reduces the S3 costs by caching the content at the edge locations and serving it from there. It also allows authorized external users to access the documents in milliseconds, as CloudFront delivers the content with low latency and high data transfer rates. This solution meets the requirement of continuing paying to store the data but saving on its total S3 costs. Option A is less efficient because it configures the S3 bucket to be a Requester Pays bucket, which is a way to shift the cost of data transfer and requests from the bucket owner to the requester2. However, this does not reduce the total S3 costs, as the company still has to pay for storing the data and for any requests made by its own users. Option B is less efficient because it changes the storage tier to S3 Standard for all existing and future objects, which is a way to store frequently accessed data with high durability and availability3. However, this does not reduce the total S3 costs, as S3 Standard has higher storage costs than S3 Standard-IA. Option C is less efficient because it turns on S3 Transfer Acceleration for the S3 bucket, which is a way to speed up transfers into and out of an S3 bucket by routing requests through CloudFront edge locations4. However, this does not reduce the total S3 costs, as S3 Transfer Acceleration has additional charges for data transfer and requests.
NEW QUESTION # 560
A company collects data from a large number of participants who use wearabledevices.The company stores the data in an Amazon DynamoDB table and uses applications to analyze the dat a. The data workload is constant and predictable. The company wants to stay at or below its forecasted budget for DynamoDB.
Whihc solution will meet these requirements MOST cost-effectively?
Answer: C
NEW QUESTION # 561
A company tracks customer satisfaction by using surveys that the company hosts on its website. The surveys sometimes reach thousands of customers every hour. Survey results are currently sent in email messages to the company so company employees can manually review results and assess customer sentiment.
The company wants to automate the customer survey process. Survey results must be available for the previous 12 months.
Which solution will meet these requirements in the MOST scalable way?
Answer: B
Explanation:
This solution is the most scalable and efficient way to handle large volumes of survey data while automating sentiment analysis:
API Gateway and SQS: The survey results are sent to API Gateway, which forwards the data to an SQS queue. SQS can handle large volumes of messages and ensures that messages are not lost.
AWS Lambda: Lambda is triggered by polling the SQS queue, where it processes the survey data.
Amazon Comprehend: Comprehend is used for sentiment analysis, providing insights into customer satisfaction.
DynamoDB with TTL: Results are stored in DynamoDB with aTime to Live (TTL)attribute set to expire after 365 days, automatically removing old data and reducing storage costs.
Option B (EC2 API): Running an API on EC2 requires more maintenance and scalability management compared to API Gateway.
Option C (S3 and Rekognition): Amazon Rekognition is for image and video analysis, not sentiment analysis.
Option D (Amazon Lex): Amazon Lex is used for building conversational interfaces, not sentiment analysis.
AWS Reference:
Amazon Comprehend for Sentiment Analysis
Amazon SQS
DynamoDB TTL
NEW QUESTION # 562
A security team wants to limit access to specific services or actions in all of the team's AWS accounts. All accounts belong to a large organization in AWS Organizations. The solution must be scalable and there must be a single point where permissions can be maintained.
What should a solutions architect do to accomplish this?
Answer: B
Explanation:
Service control policies (SCPs) are one type of policy that you can use to manage your organization. SCPs offer central control over the maximum available permissions for all accounts in your organization, allowing you to ensure your accounts stay within your organization's access control guidelines. See https://docs.aws.
amazon.com/organizations/latest/userguide/orgs_manage_policies_scp.html.
NEW QUESTION # 563
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