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Amazon Exam MLS-C01 Topic 3 Question 69 Discussion

Actual exam question for Amazon's MLS-C01 exam
Question #: 69
Topic #: 3
[All MLS-C01 Questions]

A Machine Learning Specialist is using Apache Spark for pre-processing training data As part of the Spark pipeline, the Specialist wants to use Amazon SageMaker for training a model and hosting it Which of the following would the Specialist do to integrate the Spark application with SageMaker? (Select THREE)

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Suggested Answer: A

by Rebecka at Jan 06, 2023, 03:27 AM

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Lai
21 days ago
This question is like a game of 'Guess the Right Answer' with a side of 'Guess the Secret Handshake'.
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Christa
24 days ago
Wait, hold up! Do I really need to convert that DataFrame to a CSV file before getting inferences from SageMaker? Sounds like a lot of extra work to me.
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Ashley
1 days ago
A: No, you don't need to convert the DataFrame to a CSV file. You can use the sageMakerModel.transform method directly.
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Tegan
1 months ago
Hmm, this question is like a puzzle within a puzzle. I better not forget to compress that data and upload it to S3 before training the model.
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Annamaria
2 days ago
A: D) Compress the training data into a ZIP file and upload it to a pre-defined Amazon S3 bucket.
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Pauline
20 days ago
B: C) Use the appropriate estimator from the SageMaker Spark Library to train a model.
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Marlon
22 days ago
A: B) Install the SageMaker Spark library in the Spark environment.
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Lemuel
1 months ago
Alright, time to put on my machine learning hat and integrate that Spark app with SageMaker. B, C, and D sound like the way to go.
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Vinnie
2 months ago
Whoa, this question is a real brain-teaser! I better download that AWS SDK and get crackin' on those SageMaker Spark libraries.
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Carri
10 days ago
C) Use the appropriate estimator from the SageMaker Spark Library to train a model.
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Josue
16 days ago
B) Install the SageMaker Spark library in the Spark environment.
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Susana
24 days ago
A) Download the AWS SDK for the Spark environment
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Gladys
2 months ago
In addition to that, compressing the training data into a ZIP file and uploading it to an Amazon S3 bucket is necessary for integration.
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Beckie
2 months ago
I agree with Trina, using the appropriate estimator from the SageMaker Spark Library to train a model is also important.
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Trina
2 months ago
I think the Specialist should install the SageMaker Spark library in the Spark environment.
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