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Exam AWS Certified Machine Learning - Specialty topic 1 question 162 discussion

Exam question from Amazon's AWS Certified Machine Learning - Specialty
Question #: 162
Topic #: 1
[All AWS Certified Machine Learning - Specialty Questions]

A company is building a demand forecasting model based on machine learning (ML). In the development stage, an ML specialist uses an Amazon SageMaker notebook to perform feature engineering during work hours that consumes low amounts of CPU and memory resources. A data engineer uses the same notebook to perform data preprocessing once a day on average that requires very high memory and completes in only 2 hours. The data preprocessing is not configured to use GPU. All the processes are running well on an ml.m5.4xlarge notebook instance.
The company receives an AWS Budgets alert that the billing for this month exceeds the allocated budget.
Which solution will result in the MOST cost savings?

  • A. Change the notebook instance type to a memory optimized instance with the same vCPU number as the ml.m5.4xlarge instance has. Stop the notebook when it is not in use. Run both data preprocessing and feature engineering development on that instance.
  • B. Keep the notebook instance type and size the same. Stop the notebook when it is not in use. Run data preprocessing on a P3 instance type with the same memory as the ml.m5.4xlarge instance by using Amazon SageMaker Processing.
  • C. Change the notebook instance type to a smaller general purpose instance. Stop the notebook when it is not in use. Run data preprocessing on an ml.r5 instance with the same memory size as the ml.m5.4xlarge instance by using Amazon SageMaker Processing.
  • D. Change the notebook instance type to a smaller general purpose instance. Stop the notebook when it is not in use. Run data preprocessing on an R5 instance with the same memory size as the ml.m5.4xlarge instance by using the Reserved Instance option.
Show Suggested Answer Hide Answer
Suggested Answer: C 🗳️
by spaceexplorer at April 29, 2022, 7:23 p.m.
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spaceexplorer
Highly Voted 2 years, 7 months ago
Selected Answer: C
B is wrong as it says it doesn't take advantage of GPUs
upvoted 14 times
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exam_prep
Highly Voted 2 years, 7 months ago
I believe answer should be C. a) Initial processing needs less cpu and memory so that can be done on a smaller instance. b) Second operation is memory intensive so instance type should be changed to R5 type instance.
upvoted 8 times
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data_sma
Most Recent 2 days, 18 hours ago
Selected Answer: C
It's C: 1. Change the notebook instance to a smaller one (fewer resources and lower cost), ideal for feature engineering work. 2. Move data preprocessing to an ml.r5 instance, which is memory-optimized and therefore better suited to the preprocessing workload. 3. Using Amazon SageMaker Processing to perform preprocessing allows you to allocate resources only when needed (2 hours per day), reducing operational costs. WHY IS NOT D? While using Reserved Instances can reduce costs, it involves a long-term commitment that may not be ideal for variable or seasonal workloads.
upvoted 1 times
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Stokvisss
9 months, 2 weeks ago
Selected Answer: C
I'd opt for C. A and B are wrong for obvious reasons. D sounds good but it doesn't have a ML instance and also it's just the development phase and we might not want to reserve an instance for too long.
upvoted 1 times
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geoan13
1 year ago
Option A need only one instance all other options talks about 2 instances. so why can't it be A...
upvoted 2 times
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geoan13
1 year ago
C Memory-optimized instances means provide a high memory In D they mention reserved instance. so it is costly
upvoted 1 times
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jopaca1216
1 year, 2 months ago
C is correct. Due that B is wrong, is not to use a GPU Instance based.
upvoted 1 times
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kaike_reis
1 year, 4 months ago
Selected Answer: C
"Which solution will result in the MOST cost savings" Because of this, D is wrong: are you sure that allocating an instance for months / years for a 2h/day is cost saving? Correct is C
upvoted 1 times
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Mickey321
1 year, 4 months ago
Selected Answer: C
offers the best balance of cost savings and resource adequacy for both feature engineering and data preprocessing tasks.
upvoted 1 times
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ADVIT
1 year, 5 months ago
It' C, as Reserved Instance no good for only 2 hours of daily work.
upvoted 1 times
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Mllb
1 year, 8 months ago
Selected Answer: D
R instance with processes that uses lot of memory. Reserved instances for less cost
upvoted 1 times
ZSun
1 year, 7 months ago
Selection of D is totally wrong, because you don't understand what "Reserved Instance" is!!! You cannot reserve a instance only for hours a day!!!! this is like apartment rent, can you just rent an apartment for nap time????
upvoted 3 times
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AjoseO
1 year, 9 months ago
Selected Answer: D
D over C because if the EC2 instance is being used consistently for the same two hours each day, customers could consider using a Reserved Instance with a term of 1 or 3 years and payment option that aligns with their usage pattern. This would provide significant cost savings compared to On-Demand pricing for those two hours each day.
upvoted 2 times
ccpmad
1 year, 4 months ago
is better not use everytime chatgpt, and read AWS documentation about instances.
upvoted 2 times
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jhonivy
1 year, 10 months ago
B. C is wrong as ml.r5 is not stopped when not in use
upvoted 1 times
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DeepakPg
1 year, 11 months ago
Selected Answer: D
IMO D is correct. The reserved instance option for an R5 instance, as in Option D, would provide the greatest cost savings, as reserved instances offer a discounted hourly rate in exchange for a one-time payment for a committed usage term.
upvoted 4 times
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ryuhei
2 years, 2 months ago
Selected Answer: C
I think C is correct. It only runs for 2 hours once a day, so RI is wasted. So I think D is wrong.
upvoted 4 times
Tony_1406
1 year, 7 months ago
"Scheduled RIs: These are available to launch within the time windows you reserve. This option allows you to match your capacity reservation to a predictable recurring schedule that only requires a fraction of a day, a week, or a month." You have the option to reserve for a fraction of a day. Since the question specify precisely how long the job is, it makes it suitable. https://aws.amazon.com/ec2/pricing/reserved-instances/
upvoted 1 times
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Shailendraa
2 years, 3 months ago
12-sep exam
upvoted 2 times
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rafael_teste
2 years, 4 months ago
Selected Answer: D
I think it is D. Using RIs the customer can have the greatest cost savings, as stated by the question
upvoted 2 times
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