Deal of The Day! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions
Mail Us support@pass4success.com
Location US
Mob_nav_barsMENU

Amazon Exam SAA-C03 Topic 2 Question 58 Discussion

Actual exam question for Amazon's SAA-C03 exam
Question #: 58
Topic #: 2
[All SAA-C03 Questions]

A solutions architect needs to optimize a large data analytics job that runs on an Amazon EMR cluster. The job takes 13 hours to finish. The cluster has multiple core nodes and worker nodes deployed on large, compute-optimized instances.

After reviewing EMR logs, the solutions architect discovers that several nodes are idle for more than 5 hours while the job is running. The solutions architect needs to optimize cluster performance.

Which solution will meet this requirement MOST cost-effectively?

Show Suggested Answer Hide Answer
Suggested Answer: B

EMR managed scaling dynamically resizes the cluster by adding or removing nodes based on the workload. This feature helps minimize idle time and reduces costs by scaling the cluster to meet processing demands efficiently.

Option A: Increasing the number of core nodes might increase idle time further, as it does not address the root cause of underutilization.

Option C: Migrating the job to Lambda is infeasible for large analytics jobs due to resource and runtime constraints.

Option D: Changing to memory-optimized instances may not necessarily reduce idle time or optimize costs.

AWS Documentation Reference:

EMR Managed Scaling


by Yvonne at Apr 06, 2025, 12:57 PM

Limited Time Offer

25%

Off

Get Premium SAA-C03 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel
Gearldine
17 days ago
I'm feeling like a solutions architect needs to have a spreadsheet the size of Texas to figure out the most cost-effective option here. It's like a choose-your-own-adventure, but with dollar signs!
upvoted 0 times
Sheridan
1 days ago
Add more tasks to the job to fully utilize all nodes
upvoted 0 times
...
...
Laurel
1 months ago
You know, I bet the solutions architect is wishing they had a crystal ball to see which option would work best. Maybe they should just throw a dart and see where it lands!
upvoted 0 times
Antonio
10 days ago
Upgrade to larger instances to increase processing power
upvoted 0 times
...
Roxane
27 days ago
Use automatic scaling to add or remove nodes based on workload
upvoted 0 times
...
Cherelle
28 days ago
Add more tasks to the job to fully utilize all nodes
upvoted 0 times
...
...
Fausto
1 months ago
Ooh, optimizing the instance type could be a game-changer! Cutting down the runtime by using memory-optimized instances might be the way to go.
upvoted 0 times
Dalene
15 days ago
I agree, optimizing the instance type seems like a cost-effective solution.
upvoted 0 times
...
Catrice
27 days ago
Maybe we should consider resizing the cluster to better utilize resources.
upvoted 0 times
...
Sylvia
1 months ago
Using memory-optimized instances could definitely help speed things up.
upvoted 0 times
...
...
Veronika
1 months ago
Migrating to Lambda functions? Interesting idea, but will that really be the best fit for a large data analytics job? I'm not sure the reserved concurrency would be enough.
upvoted 0 times
...
Iluminada
2 months ago
Hmm, increasing the core nodes sounds promising, but will it really be the most cost-effective solution? I wonder if the EMR managed scaling feature could handle this more efficiently.
upvoted 0 times
Renay
7 days ago
Definitely. It can help optimize cluster performance without the need for manual intervention.
upvoted 0 times
...
Novella
11 days ago
It sounds like a more efficient solution compared to manually adding more core nodes.
upvoted 0 times
...
Desire
1 months ago
That's a good point. Managed scaling can automatically adjust the number of core and task nodes based on workload.
upvoted 0 times
...
Malinda
1 months ago
I think using EMR managed scaling could be more cost-effective than increasing core nodes.
upvoted 0 times
...
...
Alishia
2 months ago
That's a good point, Charlesetta. Option D could indeed be a more efficient solution in terms of cost and performance.
upvoted 0 times
...
Charlesetta
2 months ago
I disagree, I believe option D is more cost-effective. Migrating to a memory-optimized instance type will reduce the total job runtime, saving both time and money.
upvoted 0 times
...
Alishia
2 months ago
I think option B is the best choice. It will automatically resize the cluster based on workload, optimizing performance and cost.
upvoted 0 times
...

Save Cancel
a