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AWS-Solutions-Associate Valid Test Book | AWS-Solutions-Associate Intereactive Testing Engine

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Amazon AWS-Solutions-Associate learning materials help you to easily acquire the AWS Certified Solutions Architect - Associate (SAA-C02) AWS-Solutions-Associate certification even if you have never touched the relative knowledge before. With our AWS-Solutions-Associate Exam Questions, you will easily get the favor of executives and successfully enter the gates of famous companies.

The AWS-Solutions-Associate certification exam consists of 65 multiple-choice and multiple-response questions and must be completed within 130 minutes. AWS-Solutions-Associate exam is available in English, Japanese, Korean, and Simplified Chinese. Candidates who pass the exam are awarded the AWS Certified Solutions Architect - Associate certification, which is valid for two years.

The AWS Certified Solutions Architect - Associate exam covers a wide range of AWS services and features, including compute, storage, networking, security, database, and analytics. It also tests candidates' understanding of AWS best practices, architectural principles, and design patterns. Passing AWS-Solutions-Associate Exam validates the candidate's ability to design and implement scalable, cost-effective, and secure solutions on AWS that meet customer requirements. AWS Certified Solutions Architect - Associate (SAA-C02) certification is recognized by employers worldwide and is a valuable addition to the resume of any IT professional working with AWS.

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The AWS-Solutions-Architect-Associate certification exam is updated periodically to reflect the latest trends and technologies in cloud computing. The current version of the exam, AWS Certified Solutions Architect - Associate (SAA-C02), was released in March 2020. It covers a range of topics, including AWS services and architectures, security and compliance, and troubleshooting. AWS-Solutions-Associate Exam consists of 65 multiple-choice and multiple-response questions and must be completed within 130 minutes.

Amazon AWS Certified Solutions Architect - Associate (SAA-C02) Sample Questions (Q105-Q110):

NEW QUESTION # 105
A company stores its data objects in Amazon S3 Standard storage. A solutions architect has found that 75% of the data is rarely accessed after 30 days. The company needs all the data to remain immediately accessible with the same high availability and resiliency, but the company wants to minimize storage costs.
Which storage solution will meet these requirements?

  • A. Move the data objects to S3 Standard-Infrequent Access (S3 Standard-IA) after 30 days.
  • B. Move the data objects to S3 One Zone-Infrequent Access (S3 One Zone-IA) after 30 days.
  • C. Move the data objects to S3 One Zone-Infrequent Access (S3 One Zone-IA) immediately.
  • D. Move the data objects to S3 Glacier Deep Archive after 30 days.

Answer: A

Explanation:
Explanation
Move the data objects to S3 Standard-Infrequent Access (S3 Standard-IA) after 30 days - will meet the requirements of keeping the data immediately accessible with high availability and resiliency, while minimizing storage costs. S3 Standard-IA is designed for infrequently accessed data, and it provides a lower storage cost than S3 Standard, while still offering the same low latency, high throughput, and high durability as S3 Standard.


NEW QUESTION # 106
You are playing around with setting up stacks using JSON templates in CloudFormation to try and understand them a little better. You have set up about 5 or 6 but now start to wonder if you are being charged for these stacks. What is AWS's billing policy regarding stack resources?

  • A. You are charged for the stack resources for the time they were operating (even if you deleted the stack right away)
  • B. You are charged for the stack resources for the time they were operating (but not if you deleted the stack within 60 minutes)
  • C. You are charged for the stack resources for the time they were operating (but not if you deleted the stack within 30 minutes)
  • D. You are not charged for the stack resources if they are not taking any traffic.

Answer: A

Explanation:
A stack is a collection of AWS resources that you can manage as a single unit. In other words, you can create, update, or delete a collection of resources by creating, updating, or deleting stacks. All the resources in a stack are defined by the stack's AWS CloudFormation template. A stack, for instance, can include all the resources required to run a web application, such as a web server, a database, and networking rules. If you no longer require that web application, you can simply delete the stack, and all of its related resources are deleted.
You are charged for the stack resources for the time they were operating (even if you deleted the stack right away).
Reference: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/stacks.html


NEW QUESTION # 107
What is the network performance offered by the c4.8xlarge instance in Amazon EC2?

  • A. 5 Gigabit
  • B. 10 Gigabit
  • C. Very High but variable
  • D. 20 Gigabit

Answer: B

Explanation:
Networking performance offered by the c4.8xlarge instance is 10 Gigabit.
http://aws.amazon.com/ec2/instance-types/


NEW QUESTION # 108
A company runs a containerized application on a Kubernetes cluster in an on-premises data center. The company is using a MongoDB database for data storage.
The company wants to migrate some of these environments to AWS, but no code changes or deployment method changes are possible at this time. The company needs a solution that minimizes operational overhead.
Which solution meets these requirements?

  • A. Use Amazon Elastic Container Service (Amazon ECS) with AWS Fargate for compute and Amazon DynamoDB for data storage.
  • B. Use Amazon Elastic Kubernetes Service (Amazon EKS) with AWS Fargate for compute and Amazon DocumentDB (with MongoDB compatibility) for data storage.
  • C. Use Amazon Elastic Kubernetes Service (Amazon EKS) with Amazon EC2 worker nodes for compute and Amazon DynamoDB for data storage.
  • D. Use Amazon Elastic Container Service (Amazon ECS) with Amazon EC2 worker nodes for compute and MongoDB on EC2 for data storage.

Answer: B

Explanation:
Explanation
Amazon DocumentDB (with MongoDB compatibility) is a fast, reliable, and fully managed database service.
Amazon DocumentDB makes it easy to set up, operate, and scale MongoDB-compatible databases in the cloud. With Amazon DocumentDB, you can run the same application code and use the same drivers and tools that you use with MongoDB.
https://docs.aws.amazon.com/documentdb/latest/developerguide/what-is.html


NEW QUESTION # 109

Refer to the architecture diagram above of a batch processing solution using Simple Queue Service (SQS) 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?

  • A. Implement fault tolerance against EC2 instance failure since messages would remain in SQS and worn can continue with recovery of EC2 instances implement fault tolerance against SQS failure by backing up messages to S3.
  • B. Implement message passing between EC2 instances within a batch by exchanging messages through SQS.
  • C. Coordinate number of EC2 instances with number of job requests automatically thus Improving cost effectiveness.
  • D. Reduce the overall lime for executing jobs through parallel processing by allowing a busy EC2 instance that receives a message to pass it to the next instance in a daisy-chain setup.
  • E. Handle high priority jobs before lower priority jobs by assigning a priority metadata field to SQS messages.

Answer: C

Explanation:
There are cases where a large number of batch jobs may need processing, and where the jobs may need to be re-prioritized.
For example, one such case is one where there are differences between different levels of services for unpaid users versus subscriber users (such as the time until publication) in services enabling, for example, presentation files to be uploaded for publication from a web browser. When the user uploads a presentation file, the conversion processes, for example, for publication are performed as batch processes on the system side, and the file is published after the conversion. Is it then necessary to be able to assign the level of priority to the batch processes for each type of subscriber?
Explanation of the Cloud Solution/Pattern
A queue is used in controlling batch jobs. The queue need only be provided with priority numbers. Job requests are controlled by the queue, and the job requests in the queue are processed by a batch server.
In Cloud computing, a highly reliable queue is provided as a service, which you can use to structure a highly reliable batch system with ease. You may prepare multiple queues depending on priority levels, with job requests put into the queues depending on their priority levels, to apply prioritization to batch processes.
The performance (number) of batch servers corresponding to a queue must be in accordance with the priority level thereof.
Implementation
In AWS, the queue service is the Simple Queue Service (SQS). Multiple SQS queues may be prepared to prepare queues for individual priority levels (with a priority queue and a secondary queue). Moreover, you may also use the message Delayed Send function to delay process execution.
Use SQS to prepare multiple queues for the individual priority levels.
Place those processes to be executed immediately (job requests) in the high priority queue.
Prepare numbers of batch servers, for processing the job requests of the queues, depending on the priority levels.
Queues have a message "Delayed Send" function. You can use this to delay the time for starting a process.
Configuration

Benefits
You can increase or decrease the number of servers for processing jobs to change automatically the processing speeds of the priority queues and secondary queues.
You can handle performance and service requirements through merely increasing or decreasing the number of EC2 instances used in job processing.
Even if an EC2 were to fail, the messages (jobs) would remain in the queue service, enabling processing to be continued immediately upon recovery of the EC2 instance, producing a system that is robust to failure.
Cautions
Depending on the balance between the number of EC2 instances for performing the processes and the number of messages that are queued, there may be cases where processing in the secondary queue may be completed first, so you need to monitor the processing speeds in the primary queue and the secondary queue.


NEW QUESTION # 110
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