Free Amazon MLA-C01 Exam Questions

Become Amazon Certified with updated MLA-C01 exam questions and correct answers

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Total 254 Questions | Updated On: Aug 06, 2024

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Question 1

A Machine Learning Specialist is developing a custom video recommendation model for an application. The dataset used to train this model is very large with millions of data points and is hosted in an Amazon S3 bucket.The Specialist wants to avoid loading all of this data onto an Amazon SageMaker notebook instance because it would take hours to move and will exceed the attached 5 GB Amazon EBS volume on the notebook instance.Which approach allows the Specialist to use all the data to train the model?

A : ad a smaller subset of the data into the SageMaker notebook and train locally. Confirm that the training code is executing and the model parameters seem reasonable. Launch an Amazon EC2 instance with an AWS Deep Learning AMI and attach the S3 bucket to train the full dataset.

B : AWS Glue to train a model using a small subset of the data to confirm that the data will be compatible with Amazon SageMaker. Initiate a SageMaker training job using the full dataset from the S3 bucket using Pipe input mode.

C : ad a smaller subset of the data into the SageMaker notebook and train locally. Confirm that the training code is executing and the model parameters seem reasonable. Initiate a SageMaker training job using the full dataset from the S3 bucket using Pipe input mode.

D : unch an Amazon EC2 instance with an AWS Deep Learning AMI and attach the S3 bucket to the instance. Train on a small amount of the data to verify the training code and hyperparameters. Go back to Amazon SageMaker and train using the full dataset.

Answer: C

Question 2

Why is it important to estimate the amount of uncertainty in an ML model?

A : improve the model's computational efficiency

B : increase the speed of data processing

C : reduce the amount of training data needed

D : avoid potential misinterpretations of life and property

Answer: D

Question 3

In what scenario would traditional programming techniques be preferable over ML?

A : en complex logic and scalability are required.

B : en the problem can be solved with simple rules.

C : en personalized recommendations are needed.

D : en quick adaptation to new data is necessary.

Answer: B

Question 4

What is uncertainty in the context of machine learning?

A : clarity of the model's decision-making process

B : speed of the algorithm

C : amount of data available for training

D : imperfect outcome

Answer: D

Question 5

How do financial institutions use machine learning with mobile check deposits?

A : automate logistics

B : improve ride-sharing apps

C : reduce wait times

D : recognize content

Answer: D

Page: 1 / 51

Total 254 Questions | Updated On: Aug 06, 2024

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