SAA-C03 Accurate Study Material | SAA-C03 Exam Exercise

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To become an Amazon AWS Certified Solutions Architect - Associate, candidates must pass the SAA-C03 exam, which consists of 65 multiple-choice and multiple-response questions. SAA-C03 exam duration is 130 minutes, and candidates must achieve a minimum score of 720 out of 1000 to pass the exam. SAA-C03 Exam Fee is $150, and it can be taken at any Pearson VUE testing center worldwide or online through a proctored exam.

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Amazon SAA-C03 Certification is highly valued by employers, and it can significantly boost one’s career prospects in the field of cloud computing. AWS Certified Solutions Architect - Associate certification is recognized worldwide and can open up a range of job opportunities in various industries. AWS Certified Solutions Architect - Associate certification also demonstrates one’s commitment to continuous learning and professional development, which is highly valued by employers.

Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q592-Q597):

NEW QUESTION # 592
A company is planning to deploy a data processing platform on AWS. The data processingplatform is based on PostgreSQL. The company stores the data that the platform must process on premises.
To comply with regulations, the company must not migrate the data to the cloud. However, the company wants to use AWS managed data analytics solutions.
Which solution will meet these requirements?

Answer: C

Explanation:
AWS Outposts extends AWS infrastructure and services to on-premises locations. Running Amazon EMR on Outposts allows for processing data that resides locally while benefiting from the managed services of EMR.
This enables compliance with data residency requirements and provides scalability and manageability for analytics.
Reference: AWS Documentation - Amazon EMR on Outposts


NEW QUESTION # 593
A company stores several petabytes of data across multiple AWS accounts The company uses AWS Lake Formation to manage its data lake The company's data science team wants to securely share selective data from its accounts with the company's engineering team for analytical purposes.
Which solution will meet these requirements with the LEAST operational overhead?

Answer: C

Explanation:
Understanding the Requirement: The data science team needs to securely share selective data with the engineering team across multiple AWS accounts with minimal operational overhead.
Analysis of Options:
Copy data to a common account: Involves data duplication and increased storage costs, and requires managing additional permissions.
Lake Formation permissions Grant command: This method can be effective but may involve significant operational overhead if managing permissions across multiple accounts and datasets manually.
AWS Data Exchange: Designed for sharing data externally or between organizations, which adds unnecessary complexity for internal sharing within the same organization.
Lake Formation tag-based access control: Provides a scalable and efficient way to manage access permissions based on tags, allowing fine-grained control and simplified management across accounts.
Best Solution:
Lake Formation tag-based access control: This solution meets the requirements with the least operational overhead, allowing efficient management of cross-account permissions and secure data sharing.
Reference:
AWS Lake Formation
Tag-based access control


NEW QUESTION # 594
An image-hosting company stores its objects in Amazon S3 buckets. The company wants to avoid accidental exposure of the objects in the S3 buckets to the public. All S3 objects in the entire AWS account need to remain private Which solution will meal these requirements?

Answer: C


NEW QUESTION # 595
A social media company wants to allow its users to upload images in an application that is hosted in the AWS Cloud. The company needs a solution that automatically resizes the images so that the images can be displayed on multiple device types. The application experiences unpredictable traffic patterns throughout the day. The company is seeking a highly available solution that maximizes scalability.
What should a solutions architect do to meet these requirements?

Answer: C

Explanation:
Explanation
By using Amazon S3 and AWS Lambda together, you can create a serverless architecture that provides highly scalable and available image resizing capabilities. Here's how the solution would work: Set up an Amazon S3 bucket to store the original images uploaded by users. Configure an event trigger on the S3 bucket to invoke an AWS Lambda function whenever a new image is uploaded. The Lambda function can be designed to retrieve the uploaded image, perform the necessary resizing operations based on device requirements, and store the resized images back in the S3 bucket or a different bucket designated for resized images. Configure the Amazon S3 bucket to make the resized images publicly accessible for serving to users.


NEW QUESTION # 596
A company has developed a new video game as a web application. The application is in a three-tier architecture in a VPC with Amazon RDS for MySQL in the database layer. Several players will compete concurrently online. The game's developers want to display a top-10 scoreboard in near-real time and offer the ability to stop and restore the game while preserving the current scores.
What should a solutions architect do to meet these requirements?

Answer: C

Explanation:
This answer is correct because it meets the requirements of displaying a top-10 scoreboard in near-real time and offering the ability to stop and restore the game while preserving the current scores. Amazon ElastiCache for Redis is a blazing fast in-memory data store that provides sub-millisecond latency to power internet-scale real-time applications. You can use Amazon ElastiCache for Redis to set up an ElastiCache for Redis cluster to compute and cache the scores for the web application to display. You can use Redis data structures such as sorted sets and hashes to store and rank the scores of the players, and use Redis commands such as ZRANGE and ZADD to retrieve and update the scores efficiently. You can also use Redis persistence features such as snapshots and append-only files (AOF) to enable point-in-time recovery of your data, which can help you stop and restore the game while preserving the current scores.
References:
https://docs.aws.amazon.com/AmazonElastiCache/latest/red-ug/WhatIs.html
https://redis.io/topics/data-types
https://redis.io/topics/persistence


NEW QUESTION # 597
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