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Exam AWS Certified Cloud Practitioner CLF-C02 All Questions

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Exam AWS Certified Cloud Practitioner CLF-C02 topic 1 question 67 discussion

A company is deploying a machine learning (ML) research project that will require a lot of compute power over several months. The ML processing jobs do not need to run at specific times.
Which Amazon EC2 instance purchasing option will meet these requirements at the lowest cost?

  • A. On-Demand Instances
  • B. Spot Instances
  • C. Reserved Instances
  • D. Dedicated Instances
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Suggested Answer: B 🗳️

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uugla_john
Highly Voted 1 year ago
Alright guys, I found this. Pretty sure it settles things. https://naterar.medium.com/a-deep-dive-into-aws-instance-types-solving-high-cpu-workload-and-memory-spikes-57e8b5623777 Spot: Spot instances can be valuable for handling sporadic high CPU workloads and memory spikes. >>>However, the inherent uncertainty of availability makes them less reliable for consistent, high-demand workloads.<<< On-Demand: provide the necessary computational horsepower exactly when needed, making them ideal for dealing with unexpected CPU and memory demands. So, yeah, I'd say 'A'.
upvoted 17 times
abishekkkkk
3 months, 4 weeks ago
wrong B.
upvoted 1 times
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TheFivePips
Highly Voted 9 months, 3 weeks ago
Selected Answer: B
A. On-Demand Instances: On-Demand Instances provide the highest level of flexibility and do not require any upfront commitment. On-Demand Instances are suitable for workloads with variable usage patterns, but they are generally more expensive than other purchasing options. B. Spot Instances: Spot Instances are the most cost-effective option for scenarios where the workload is flexible and can be interrupted. Spot Instances allow you to use spare EC2 capacity at a significantly lower cost than On-Demand Instances. Spot Instances are suitable for workloads like batch processing, data analysis, and machine learning jobs that do not require continuous, uninterrupted operation C. Reserved Instances: Reserved Instances involve a commitment to a specific instance type in a particular region for a term of 1 or 3 years. In exchange for this commitment, users receive a significant discount compared to On-Demand Instances. D. Dedicated Instances: Dedicated Instances are instances that run on hardware dedicated to a single customer. They are typically used in scenarios where compliance or regulatory requirements mandate dedicated hardware.
upvoted 7 times
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48f9f03
Most Recent 1 week, 1 day ago
Selected Answer: B Spot Instances are good for short workloads, but are less reliable
upvoted 1 times
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Kilobay1
1 month, 4 weeks ago
Selected Answer: B
ML jobs do not need to run at specific times and can handle interruptions, Spot Instances are ideal for cost savings. You can take advantage of the lower prices while still meeting your compute needs.
upvoted 1 times
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vxzy
2 months, 2 weeks ago
This question makes me feel like a robot
upvoted 2 times
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GPFT
2 months, 3 weeks ago
Selected Answer: A
a is ok
upvoted 2 times
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Cslsuporte
2 months, 3 weeks ago
I guess B is correct isn´t it ? coz it wont be run at specific times ...
upvoted 1 times
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AnjaliJM
3 months, 2 weeks ago
Selected Answer: B
CORRECT SINCE we can do not need the instance at specific time.
upvoted 1 times
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chalaka
6 months, 3 weeks ago
Selected Answer: B
B. Spot Instances Spot Instances allow you to bid for unused EC2 capacity, often resulting in significantly lower costs compared to On-Demand Instances. Since the ML processing jobs do not need to run at specific times, Spot Instances can be a suitable choice as they provide access to spare EC2 capacity at reduced prices.
upvoted 3 times
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mojito1
6 months, 3 weeks ago
Will require a lot of compute power over several months.The ML processing jobs do not need to run at specific times. Can spot handle large scale computing?
upvoted 1 times
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pure_edge
8 months, 2 weeks ago
Correct answer should be B. On-Demand Instances: These instances allow you to pay for compute capacity by the hour or second, with no long-term commitments. They are suitable for short-term, spiky, or unpredictable workloads that cannot be interrupted. However, they are not the lowest cost option for long-term, predictable workloads. Spot Instances: This is the correct choice. Spot Instances allow you to bid on spare Amazon EC2 computing capacity. Spot Instances are available at up to a 90% discount compared to On-Demand prices. They are ideal for workloads that are not time-sensitive and can tolerate interruptions. Since the company's ML processing jobs do not need to run at specific times, Spot Instances offer a cost-effective solution for long-term, predictable workloads.
upvoted 5 times
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chini786
8 months, 2 weeks ago
https://aws.amazon.com/ec2/spot/?refid=32f4fbd0-ffda-4695-a60c-8857fab7d0dd Use cases : Deploy containers Run containerized workloads of any scale using Amazon EC2, Amazon ECS, Amazon EKS, or self-managed Kubernetes clusters on Spot Instances. Run big data and ML workloads : Fast-track big data and machine learning workloads by using Spot Instances with Amazon EMR, Hadoop, Spark, or Amazon Sagemaker to process massive amounts of data.
upvoted 3 times
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bd29
8 months, 3 weeks ago
Selected Answer: B
B is the best solution for lowest costs
upvoted 3 times
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Jumpy007
9 months ago
Selected Answer: B
B Spot instances https://aws.amazon.com/ec2/instance-types/p3/
upvoted 3 times
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Jumpy007
9 months ago
B Spot instances https://aws.amazon.com/ec2/instance-types/p3/
upvoted 3 times
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LinuxChamp
9 months ago
B = CORRECT
upvoted 2 times
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James_Srm
9 months ago
Selected Answer: B
B. - On-demand is not suit for run over the long period because it's not cost optimize - any reserved instance is not suite for this use case too, because it reserved model is need at least 1 year commitment.
upvoted 3 times
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A (35%)
C (25%)
B (20%)
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