Microsoft AZ900 Exam Dumps|QAs Page -9

Microsoft AZ900 Exam Dumps post contains real and latest questions for Microsoft Azure Fundamentals.

Microsoft AZ900 Exam Dumps

Microsoft AZ900 Exam Dumps – QAs 41-45

Q41. You need to implement a Data Science Virtual Machine (DSVM) that supports the Caffe2 deep learning framework.
Which of the following DSVM should you create?

  1. Windows Server 2012 DSVM
  2. Windows Server 2016 DSVM
  3. Ubuntu 16.04 DSVM
  4. CentOS 7.4 DSVM
Correct Answer

3. Ubuntu 16.04 DSVM

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/data-science-virtual-machine/overview

Q42. HOTSPOT –
Complete the sentence by selecting the correct option in the answer area.
Hot Area:

az900_question 42
Correct Answer
az900_answer 42

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/convert-to-arff

Q43. You have been tasked with creating a new Azure pipeline via the Machine Learning designer.
You have to makes sure that the pipeline trains a model using data in a comma-separated values (CSV) file that is published on a website. A dataset for the file for this file does not exist.
Data from the CSV file must be ingested into the designer pipeline with the least amount of administrative effort as possible.
Which of the following actions should you take?

  1. You should make use of the Convert to TXT module.
  2. You should add the Copy Data object to the pipeline.
  3. You should add the Import Data object to the pipeline.
  4. You should add the Dataset object to the pipeline.
Correct Answer

4. You should add the Dataset object to the pipeline.

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-create-your-first-pipeline

Q44. You need to consider the underlined segment to establish whether it is accurate.
To improve the amount of low incidence cases in a dataset, you should make use of the SMOTE module.
Select `No adjustment required` if the underlined segment is accurate. If the underlined segment is inaccurate, select the accurate option.

  1. No adjustment required.
  2. Remove Duplicate Rows
  3. Join Data
  4. Edit Metadata
Correct Answer

1. No adjustment required.

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/smote

Q45. This question is included in a number of questions that depicts the identical set-up. However, every question has a distinctive result. Establish if the recommendation satisfies the requirements.
You have been tasked with evaluating your model on a partial data sample via k-fold cross-validation.
You have already configured a k parameter as the number of splits. You now have to configure the k parameter for the cross-validation with the usual value choice.
Recommendation: You configure the use of the value k=1.
Will the requirements be satisfied?

  1. Yes
  2. No
Correct Answer

2. No

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