New AWS-Solutions-Associate Exam Practice, AWS-Solutions-Associate Exam Reviews

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Amazon AWS-Solutions-Associate Certification, also known as the AWS Certified Solutions Architect - Associate (SAA-C02), is a highly respected and sought-after certification in the IT industry. AWS Certified Solutions Architect - Associate (SAA-C03) certification is designed for individuals who want to become proficient in designing and deploying scalable and fault-tolerant systems on the Amazon Web Services (AWS) platform. AWS Certified Solutions Architect - Associate (SAA-C03) certification validates the individual's expertise in deploying and managing AWS services, as well as their ability to design and deploy a scalable, highly available, and fault-tolerant architecture on AWS.

The AWS-Solutions-Architect-Associate certification exam covers a wide range of topics, including AWS architecture, security, networking, storage, compute, and database services. Candidates must demonstrate their ability to design and deploy scalable, elastic, and fault-tolerant systems on AWS. They must also be able to select the appropriate AWS services to meet specific application requirements, and understand how to migrate on-premises applications to AWS. To prepare for the exam, candidates can take the AWS Solutions Architect – Associate training course, which covers all the required topics and provides hands-on experience with AWS services.

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The AWS SAA-C02 exam covers a wide range of topics, including AWS services such as EC2, S3, RDS, VPC, Route 53, and more. AWS-Solutions-Associate exam also covers topics such as security, high availability, and fault tolerance. AWS-Solutions-Associate exam consists of 65 multiple-choice and multiple-response questions that need to be completed within 130 minutes. AWS-Solutions-Associate Exam Fee is $150, and it can be taken at any of the AWS testing centers or online from the comfort of your home or office.

Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Sample Questions (Q424-Q429):

NEW QUESTION # 424
Question:
A genomics research company is designing a scalable architecture for a loosely coupled workload. Tasks in the workload are independent and can be processed in parallel. The architecture needs to minimize management overhead and provide automatic scaling based on demand.
Options:

Answer: A

Explanation:
For workloads where tasks are independent and can be processed in parallel, and where minimizing management overhead is a priority, a serverless architecture using AWS Lambda is ideal.
AWS Lambda allows you to run code without provisioning or managing servers. It automatically scales your application by running code in response to each trigger.
Parallel Processing: Lambda functions can process multiple tasks concurrently, making it suitable for parallel workloads.
Automatic Scaling: Lambda automatically scales by running code in response to each event, scaling precisely with the size of the workload.
Minimal Management Overhead: With Lambda, there's no need to manage the underlying infrastructure, reducing operational complexity.Wikipedia References:
AWS Lambda - Run Code Without Thinking About Servers
Best Practices for Designing and Architecting with AWS Lambda


NEW QUESTION # 425
A manufacturing company runs an order processing application in its VPC. The company wants to securely send messages from the application to an external Salesforce system that uses Open Authorization (OAuth).
A solutions architect needs to integrate the company's order processing application with the external Salesforce system.
Which solution will meet these requirements?

Answer: C

Explanation:
AmazonEventBridgeAPI destinations allow you to send data from AWS to external systems, like Salesforce, using HTTP APIs, including those secured with OAuth. This provides a secure and scalable solution for sending messages from the order processing application to Salesforce.
Option A and B (SNS): SNS is not ideal for OAuth-secured external APIs and lacks the necessary OAuth integration.
Option D (MSK): Amazon MSK is a Kafka-based streaming solution, which is overkill for simple message forwarding to Salesforce.
AWS References:
Amazon EventBridge API Destinations


NEW QUESTION # 426
A company designed a stateless two-tier application that uses Amazon EC2 in a single Availability Zone and an Amazon RDS Multi-AZ DB instance New company management wants to ensure the application is highly available.
What should a solutions architect do to meet this requirement?

Answer: C

Explanation:
Explanation
https://docs.aws.amazon.com/autoscaling/ec2/userguide/as-add-availability-zone.html


NEW QUESTION # 427

Refer to the architecture diagram above of a batch processing solution using Simple Queue Service (SOS) to set up a message queue between EC2 instances which are used as batch processors Cloud Watch monitors the number of Job requests (queued messages) and an Auto Scaling group adds or deletes batch servers automatically based on parameters set in Cloud Watch alarms. You can use this architecture to implement which of the following features in a cost effective and efficient manner?

Answer: B


NEW QUESTION # 428
A pharmaceutical company is developing a new drug. The volume of data that the company generates has grown exponentially over the past few months. The company's researchers regularly require a subset of the entire dataset to be immediately available with minimal lag. However the entire dataset does not need to be accessed on a daily basis. All the data currently resides in on-premises storage arrays, and the company wants to reduce ongoing capital expenses.
Which storage solution should a solutions architect recommend to meet these requirements?

Answer: B

Explanation:
AWS Storage Gateway is a hybrid cloud storage service that allows you to seamlessly integrate your on-premises applications with AWS cloud storage. Volume Gateway is a type of Storage Gateway that presents cloud-backed iSCSI block storage volumes to your on-premises applications. Volume Gateway operates in either cache mode or stored mode. In cache mode, your primary data is stored in Amazon S3, while retaining your frequently accessed data locally in the cache for low latency access. In stored mode, your primary data is stored locally and your entire dataset is available for low latency access on premises while also asynchronously getting backed up to Amazon S3.
For the pharmaceutical company's use case, cache mode is the most suitable option, as it meets the following requirements:
It reduces the need to scale the on-premises storage infrastructure, as most of the data is stored in Amazon S3, which is scalable, durable, and cost-effective.
It provides low latency access to the subset of the data that the researchers regularly require, as it is cached locally in the Storage Gateway appliance.
It does not require the entire dataset to be accessed on a daily basis, as it is stored in Amazon S3 and can be retrieved on demand.
It offers flexible data protection and recovery options, as it allows taking point-in-time copies of the volumes using AWS Backup, which are stored in AWS as Amazon EBS snapshots.
Therefore, the solutions architect should recommend deploying an AWS Storage Gateway volume gateway with cached volumes with an Amazon S3 bucket as the target storage and migrating the data to the Storage Gateway appliance.
References:
Volume Gateway | Amazon Web Services
How Volume Gateway works (architecture) - AWS Storage Gateway
AWS Storage Volume Gateway - Cached volumes - Stack Overflow


NEW QUESTION # 429
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