Microsoft

DP-100 practice test

Practice with 15 free Testara sample questions, or choose paid access to the full 352-question bank.

Provider
Microsoft
Question bank
352
Free sample
15 questions
Publisher
Testara

About this practice material

This page covers Testara's practice question bank for DP-100, a certification listed under Microsoft. Questions use original, exam-style scenarios and are not questions from the official certification exam.

Testara is an independent practice platform and is not affiliated with, endorsed by, or authorized by Microsoft. The certification credential is issued by Microsoft, not Testara. Certification and provider names belong to their respective owners.

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Free sample questions

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  1. Question 1 · 1

    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=3. Will the requirements be satisfied?

    Choose one answer.

    • Yes
    • No
  2. Question 2 · 1

    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=10. Will the requirements be satisfied?

    Choose one answer.

    • Yes
    • No
  3. Question 3 · 1

    You construct a machine learning experiment via Azure Machine Learning Studio. You would like to split data into two separate datasets. Which of the following actions should you take?

    Choose one answer.

    • You should make use of the Split Data module.
    • You should make use of the Group Categorical Values module.
    • You should make use of the Clip Values module.
    • You should make use of the Group Data into Bins module.
  4. Question 4 · 1

    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?

    Choose one answer.

    • You should make use of the Convert to TXT module.
    • You should add the Copy Data object to the pipeline.
    • You should add the Import Data object to the pipeline.
    • You should add the Dataset object to the pipeline.
  5. Question 5 · 1

    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 are in the process of creating a machine learning model. Your dataset includes rows with null and missing values. You plan to make use of the Clean Missing Data module in Azure Machine Learning Studio to detect and fix the null and missing values in the dataset. Recommendation: You make use of the Replace with median option. Will the requirements be satisfied?

    Choose one answer.

    • Yes
    • No
  6. Question 6 · 1

    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 are in the process of creating a machine learning model. Your dataset includes rows with null and missing values. You plan to make use of the Clean Missing Data module in Azure Machine Learning Studio to detect and fix the null and missing values in the dataset. Recommendation: You make use of the Custom substitution value option. Will the requirements be satisfied?

    Choose one answer.

    • Yes
    • No
  7. Question 7 · 1

    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 are in the process of creating a machine learning model. Your dataset includes rows with null and missing values. You plan to make use of the Clean Missing Data module in Azure Machine Learning Studio to detect and fix the null and missing values in the dataset. Recommendation: You make use of the Remove entire row option. Will the requirements be satisfied?

    Choose one answer.

    • Yes
    • No
  8. Question 8 · 1

    You need to consider the underlined segment to establish whether it is accurate. To transform a categorical feature into a binary indicator, you should make use of the Clean Missing Data module. Select `No adjustment required` if the underlined segment is accurate. If the underlined segment is inaccurate, select the accurate option.

    Choose one answer.

    • No adjustment required.
    • Convert to Indicator Values
    • Apply SQL Transformation
    • Group Categorical Values
  9. Question 9 · 1

    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.

    Choose one answer.

    • No adjustment required.
    • Remove Duplicate Rows
    • Join Data
    • Edit Metadata
  10. Question 10 · 1

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

    Choose an option for each prompt.

    Question illustration 1

    [blank] is required for a Deep Learning Virtual Machine (DLVM) to support CUDA computations.

    • SSD
    • FPGA
    • GPU
    • Power BI
    Read explanation

    A Deep Learning Virtual Machine is a pre-configured environment for deep learning using GPU instances.

  11. Question 11 · 1

    You are planning to host practical training to acquaint learners with data visualization creation using Python. Learner devices are able to connect to the internet. Learner devices are currently NOT configured for Python development. Also, learners are unable to install software on their devices as they lack administrator permissions. Furthermore, they are unable to access Azure subscriptions. It is imperative that learners are able to execute Python-based data visualization code. Which of the following actions should you take?

    Choose one answer.

    • You should consider configuring the use of Azure Container Instance.
    • You should consider configuring the use of Azure BatchAI.
    • You should consider configuring the use of Azure Notebooks.
    • You should consider configuring the use of Azure Kubernetes Service.
  12. Question 12 · 1

    You have recently concluded the construction of a binary classification machine learning model. You are currently assessing the model. You want to make use of a visualization that allows for precision to be used as the measurement for the assessment. Which of the following actions should you take?

    Choose one answer.

    • You should consider using Venn diagram visualization.
    • You should consider using Receiver Operating Characteristic (ROC) curve visualization.
    • You should consider using Box plot visualization.
    • You should consider using the Binary classification confusion matrix visualization.
  13. Question 13 · 1

    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?

    Choose one answer.

    • Yes
    • No
  14. Question 14 · 1

    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 are in the process of carrying out feature engineering on a dataset. You want to add a feature to the dataset and fill the column value. Recommendation: You must make use of the Group Categorical Values Azure Machine Learning Studio module. Will the requirements be satisfied?

    Choose one answer.

    • Yes
    • No
  15. Question 15 · 1

    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 are in the process of carrying out feature engineering on a dataset. You want to add a feature to the dataset and fill the column value. Recommendation: You must make use of the Join Data Azure Machine Learning Studio module. Will the requirements be satisfied?

    Choose one answer.

    • Yes
    • No

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