Microsoft DP-100 Quizfragen Und Antworten - DP-100 Zertifizierungsantworten

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Microsoft DP-100 Exam Syllabus Topics:

SectionWeightObjectives
Explore data and train models35-40%- Run experiments and train models
  • 1. Use automated machine learning
  • 2. Track experiments
  • 3. Perform hyperparameter tuning
- Optimize model performance
  • 1. Improve accuracy and performance
  • 2. Evaluate models
- Prepare data for modeling
  • 1. Ingest and transform data
  • 2. Manage datasets and datastores
Prepare a model for deployment20-25%- Deploy machine learning models
  • 1. Deploy real-time inference endpoints
  • 2. Deploy batch inference pipelines
- Manage deployment assets
  • 1. Create inference configurations
  • 2. Register models
Design and prepare a machine learning solution20-25%- Prepare development environments
  • 1. Use SDKs and notebooks
  • 2. Configure environments
- Design an Azure Machine Learning workspace
  • 1. Manage compute resources
  • 2. Configure workspace resources
  • 3. Configure security and access
Deploy and retrain models10-15%- Monitor deployed models
  • 1. Monitor model performance
  • 2. Track data drift
- Implement retraining pipelines
  • 1. Manage ML pipelines
  • 2. Create scheduled retraining workflows

>> Microsoft DP-100 Quizfragen Und Antworten <<

DP-100 Zertifizierungsantworten, DP-100 Antworten

Die Schulungen für die Vorbereitung der Microsoft DP-100 (Designing and Implementing a Data Science Solution on Azure) Zertifizierungsprüfung beinhalten die Simulationsprüfungen sowie die Prüfungsfragen und Antworten zur Microsoft DP-100 Zertifizierungsprüfung. Im Internet haben Sie vielleicht auch einige ähnliche Ausbildungswebsites gesehen. Nach dem Vergleich würden Sie aber finden, dass die Schulungen zur Microsoft DP-100 Zertifizierungsprüfung von Zertpruefung eher zielgerichtet sind. Sie sind nicht nur von guter Qualität, sondern sind auch die umfassendeste.

Microsoft Designing and Implementing a Data Science Solution on Azure DP-100 Prüfungsfragen mit Lösungen (Q525-Q530):

525. Frage
You are developing a deep learning model by using TensorFlow. You plan to run the model training workload on an Azure Machine Learning Compute Instance.
You must use CUDA-based model training.
You need to provision the Compute Instance.
Which two virtual machines sizes can you use? To answer, select the appropriate virtual machine sizes in the answer area.
NOTE: Each correct selection is worth one point.

Antwort:

Begründung:

Reference:
https://www.infoworld.com/article/3299703/what-is-cuda-parallel-programming-for-gpus.html


526. Frage
You have an Azure blob container that contains a set of TSV files. The Azure blob container is registered as a datastore for an Azure Machine Learning service workspace. Each TSV file uses the same data schema.
You plan to aggregate data for all of the TSV files together and then register the aggregated data as a dataset in an Azure Machine Learning workspace by using the Azure Machine Learning SDK for Python.
You run the following code.

For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Antwort:

Begründung:

Explanation:
Box 1: No
FileDataset references single or multiple files in datastores or from public URLs. The TSV files need to be parsed.
Box 2: Yes
to_path() gets a list of file paths for each file stream defined by the dataset.
Box 3: Yes
TabularDataset.to_pandas_dataframe loads all records from the dataset into a pandas DataFrame.
TabularDataset represents data in a tabular format created by parsing the provided file or list of files.
Note: TSV is a file extension for a tab-delimited file used with spreadsheet software. TSV stands for Tab Separated Values. TSV files are used for raw data and can be imported into and exported from spreadsheet software. TSV files are essentially text files, and the raw data can be viewed by text editors, though they are often used when moving raw data between spreadsheets.
Reference:
https://docs.microsoft.com/en-us/python/api/azureml-core/azureml.data.tabulardataset


527. Frage
You write code to retrieve an experiment that is run from your Azure Machine Learning workspace.
The run used the model interpretation support in Azure Machine Learning to generate and upload a model explanation.
Business managers in your organization want to see the importance of the features in the model.
You need to print out the model features and their relative importance in an output that looks similar to the following.

How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Antwort:

Begründung:

Reference:
https://docs.microsoft.com/en-us/python/api/azureml-contrib-interpret/azureml.contrib.interpret.explanation.explanation_client.explanationclient?view=azure-ml-py


528. Frage
You have a binary classifier that predicts positive cases of diabetes within two separate age groups.
The classifier exhibits a high degree of disparity between the age groups.
You need to modify the output of the classifier to maximize its degree of fairness across the age groups and meet the following requirements:
* Eliminate the need to retrain the model on which the classifier is based.
* Minimize the disparity between true positive rates and false positive rates across age groups.
Which algorithm and panty constraint should you use? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

Antwort:

Begründung:

Explanation:


529. Frage
You are determining if two sets of data are significantly different from one another by using Azure Machine Learning Studio.
Estimated values in one set of data may be more than or less than reference values in the other set of data.
You must produce a distribution that has a constant Type I error as a function of the correlation.
You need to produce the distribution.
Which type of distribution should you produce?

Antwort: C

Begründung:
Choose a one-tail or two-tail test. The default is a two-tailed test. This is the most common type of test, in which the expected distribution is symmetric around zero.
Example: Type I error of unpaired and paired two-sample t-tests as a function of the correlation. The simulated random numbers originate from a bivariate normal distribution with a variance of 1.

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/test-hypothesis-using-t-test
https://en.wikipedia.org/wiki/Student%27s_t-test


530. Frage
......

Die Schulungen für die Vorbereitung der Microsoft DP-100 (Designing and Implementing a Data Science Solution on Azure) Zertifizierungsprüfung beinhalten die Simulationsprüfungen sowie die Prüfungsfragen und Antworten zur Microsoft DP-100 Zertifizierungsprüfung. Im Internet haben Sie vielleicht auch einige ähnliche Ausbildungswebsites gesehen. Nach dem Vergleich würden Sie aber finden, dass die Schulungen zur Microsoft DP-100 Zertifizierungsprüfung von Zertpruefung eher zielgerichtet sind. Sie sind nicht nur von guter Qualität, sondern sind auch die umfassendeste.

DP-100 Zertifizierungsantworten: https://www.zertpruefung.de/DP-100_exam.html

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