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Exam AWS Certified Solutions Architect - Associate SAA-C03 All Questions

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Exam AWS Certified Solutions Architect - Associate SAA-C03 topic 1 question 369 discussion

Exam question from Amazon's AWS Certified Solutions Architect - Associate SAA-C03
Question #: 369
Topic #: 1
[All AWS Certified Solutions Architect - Associate SAA-C03 Questions]

A company has migrated an application to Amazon EC2 Linux instances. One of these EC2 instances runs several 1-hour tasks on a schedule. These tasks were written by different teams and have no common programming language. The company is concerned about performance and scalability while these tasks run on a single instance. A solutions architect needs to implement a solution to resolve these concerns.

Which solution will meet these requirements with the LEAST operational overhead?

  • A. Use AWS Batch to run the tasks as jobs. Schedule the jobs by using Amazon EventBridge (Amazon CloudWatch Events).
  • B. Convert the EC2 instance to a container. Use AWS App Runner to create the container on demand to run the tasks as jobs.
  • C. Copy the tasks into AWS Lambda functions. Schedule the Lambda functions by using Amazon EventBridge (Amazon CloudWatch Events).
  • D. Create an Amazon Machine Image (AMI) of the EC2 instance that runs the tasks. Create an Auto Scaling group with the AMI to run multiple copies of the instance.
Show Suggested Answer Hide Answer
Suggested Answer: A 🗳️
by [deleted] at March 10, 2023, 2:23 p.m.
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fkie4
Highly Voted 1 year, 8 months ago
Selected Answer: C
question said "These tasks were written by different teams and have no common programming language", and key word "scalable". Only Lambda can fulfil these. Lambda can be done in different programming languages, and it is scalable
upvoted 10 times
wsdasdasdqwdaw
1 year, 1 month ago
AWS Batch - As a fully managed service, AWS Batch helps you to run batch computing workloads of any scale. AWS Batch automatically provisions compute resources and optimizes the workload distribution based on the quantity and scale of the workloads. With AWS Batch, there's no need to install or manage batch computing software, so you can focus your time on analyzing results and solving problems. https://docs.aws.amazon.com/batch/latest/userguide/what-is-batch.html ---> I am voting for A, C would have been OK if the time was within 15 minutes.
upvoted 7 times
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smgsi
1 year, 8 months ago
It’s not because time limit of lambda is 15 minutes
upvoted 12 times
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FourOfAKind
1 year, 8 months ago
But the question states "several 1-hour tasks on a schedule", and the maximum runtime for Lambda is 15 minutes, so it can't be A.
upvoted 31 times
FourOfAKind
1 year, 8 months ago
can't be C
upvoted 9 times
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JTruong
10 months, 3 weeks ago
Lambda can only execute job under 15 mins* so C can't be the answer
upvoted 4 times
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pentium75
Highly Voted 10 months, 3 weeks ago
"Running on a schedule" = Batch Not C due Lambda < 15 min Not D, auto-scaling doesn't make sense for things running on a schedule
upvoted 8 times
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foha2012
Most Recent 10 months ago
Selected Answer: D
Answer = D "performance and scalability while these tasks run on a single instance" They gave me a legacy application and want it to autoscale for performace. They dont want it to run on a single EC2 instance. Shouldn't I make an AMI and provision multiple EC2 instances in an autoscaling group ? I could put an ALB in front of it. I wont have to deal with "uncommon programming languages" inside the application... Just a thought..
upvoted 2 times
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awsgeek75
10 months, 3 weeks ago
Selected Answer: A
AWS Batch is for jobs running at schedule on EC2. so option A B is operational overhead C Lambda is 15 mins max execution D Scaling is not a requirement
upvoted 6 times
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meowruki
11 months, 3 weeks ago
Selected Answer: A
AWS Batch: AWS Batch is a fully managed service for running batch computing workloads. It dynamically provisions the optimal quantity and type of compute resources based on the volume and specific resource requirements of the batch jobs. It allows you to run tasks written in different programming languages with minimal operational overhead.
upvoted 4 times
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hungta
1 year ago
Selected Answer: A
The tast working for hour but lambda function timeout is 15 minutes. So vote A.
upvoted 2 times
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youdelin
1 year, 1 month ago
I know guys are stressed out trying to figure this exam out okay, but no matter what people say, with or without reasoning, at least put your mouth clean. Going like AAA is an issue, but talking shi* on him just because he didn't write down the reasoning is your fault.
upvoted 2 times
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Guru4Cloud
1 year, 2 months ago
Selected Answer: A
It can run heterogeneous workloads and tasks without needing to convert them to a common format. AWS Batch manages the underlying compute resources - no need to manage containers, Lambda functions or Auto Scaling groups.
upvoted 6 times
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zjcorpuz
1 year, 3 months ago
AWS Lambda function can only be run for 15 mins
upvoted 2 times
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jaydesai8
1 year, 4 months ago
Selected Answer: A
maximum runtime for Lambda is 15 minutes, hence A
upvoted 3 times
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antropaws
1 year, 5 months ago
Selected Answer: A
I also go with A.
upvoted 2 times
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omoakin
1 year, 5 months ago
C. Copy the tasks into AWS Lambda functions. Schedule the Lambda functions by using Amazon EventBridge (Amazon CloudWatch Events)
upvoted 1 times
ruqui
1 year, 5 months ago
wrong, Lambda maximum runtime is 15 minutes and the tasks run for an hour
upvoted 3 times
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KMohsoe
1 year, 6 months ago
Selected Answer: A
B and D out! A and C let's think! AWS Lambda functions are time limited. So, Option A
upvoted 2 times
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lucdt4
1 year, 6 months ago
AAAAAAAAAAAAAAAAA because lambda only run within 15 minutes
upvoted 3 times
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TariqKipkemei
1 year, 6 months ago
Selected Answer: A
Answer is A. Could have been C but AWS Lambda functions can be only configured to run up to 15 minutes per execution. While the task in question need an 1hour to run,
upvoted 5 times
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luisgu
1 year, 6 months ago
Selected Answer: D
question is asking for the LEAST operational overhead. With batch, you have to create the compute environment, create the job queue, create the job definition and create the jobs --> more operational overhead than creating an ASG
upvoted 2 times
pentium75
10 months, 3 weeks ago
Things 'running on a schedule' = Batch, not autoscaling
upvoted 2 times
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WELL_212
1 year, 7 months ago
Selected Answer: A
A not C The maximum AWS Lambda function run time is 15 minutes. If a Lambda function runs for longer than 15 minutes, it will be terminated by AWS Lambda. This limit is in place to prevent the Lambda environment from becoming stale and to ensure that resources are available for other functions. If a task requires more than 15 minutes to complete, a different AWS service or architecture may be better suited for the use case.
upvoted 2 times
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