Blog

Greg Owens Greg Owens

0 Course Enrolled • 0 Course Completed

Biography

Sample Microsoft DP-100 Exam - Reliable DP-100 Exam Sims

BONUS!!! Download part of Actual4Cert DP-100 dumps for free: https://drive.google.com/open?id=1a0oW4ekPeYPs0NJHZvN5nfjhU4vFQoni

Our DP-100 exam materials constantly attract students to transfer their passion into progresses for the worldwide feedbacks from our loyal clients prove that we are number one in this field to help them achieve their dream in the DP-100 Exam. Though you can participate in the use of important factors, only the guarantee of high quality, to provide students with a better teaching method, thus our DP-100 study dumps bring more outstanding teaching effect.

Microsoft DP-100 Certification Exam is ideal for data scientists, data analysts, and other professionals who work with data and want to validate their skills and knowledge in data science. It is also suitable for professionals who are looking to transition into the data science field and want to demonstrate their proficiency in this area. Designing and Implementing a Data Science Solution on Azure certification exam can help you stand out in the job market and increase your earning potential.

>> Sample Microsoft DP-100 Exam <<

2025 Microsoft DP-100 –Efficient Sample Exam

Just like the old saying goes: "Practice is the only standard to testify truth", which means learning of theory ultimately serves practical application, in the same way, it is a matter of common sense that pass rate of a kind of DP-100 exam torrent is the only standard to testify weather it is effective and useful. The team of the experts in our company has an in-depth understanding of the fundamental elements that combine to produce world class DP-100 Guide Torrent for our customers. This expertise coupled with our comprehensive design criteria and development resources combine to create definitive DP-100 exam torrent.

Microsoft Designing and Implementing a Data Science Solution on Azure Sample Questions (Q467-Q472):

NEW QUESTION # 467
You plan to create a speech recognition deep learning model.
The model must support the latest version of Python.
You need to recommend a deep learning framework for speech recognition to include in the Data Science Virtual Machine (DSVM).
What should you recommend?

A. Rattle
B. Tensorflow
C. Apache Drill
D. Weka

Answer: B

Explanation:
Explanation
TensorFlow is an open source library for numerical computation and large-scale machine learning. It uses Python to provide a convenient front-end API for building applications with the framework TensorFlow can train and run deep neural networks for handwritten digit classification, image recognition, word embeddings, recurrent neural networks, sequence-to-sequence models for machine translation, natural language processing, and PDE (partial differential equation) based simulations.
References:
https://www.infoworld.com/article/3278008/what-is-tensorflow-the-machine-learning-library-explained.html

NEW QUESTION # 468
You have an Azure Machine Learning workspace named WS1.
You plan to use the Responsible Al dashboard to assess MLflow models that you will register in WS1.
You need to identify the library you should use to register the MLflow models.
Which library should you use?

A. PyTorch
B. mlpy
C. TensorFlow
D. scikit-learn

Answer: A

NEW QUESTION # 469
You are using The Azure Machine Learning designer to transform a dataset containing the census data of all nations.
You must use the Split Data component to separate the dataset into two datasets. The first dataset must contain the census data of the United States. The second dataset must include the census data of the remaining nations.
You need to configure the component to create the datasets.
Which configuration values should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 470
You have a dataset created for multiclass classification tasks that contains a normalized numerical feature set with 10,000 data points and 150 features.
You use 75 percent of the data points for training and 25 percent for testing. You are using the scikit-learn machine learning library in Python. You use X to denote the feature set and Y to denote class labels.
You create the following Python data frames:

You need to apply the Principal Component Analysis (PCA) method to reduce the dimensionality of the feature set to 10 features in both training and testing sets.
How should you complete the code segment? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Box 1: PCA(n_components = 10)
Need to reduce the dimensionality of the feature set to 10 features in both training and testing sets.
Example:
from sklearn.decomposition import PCA
pca = PCA(n_components=2) ;2 dimensions
principalComponents = pca.fit_transform(x)
Box 2: pca
fit_transform(X[, y])fits the model with X and apply the dimensionality reduction on X.
Box 3: transform(x_test)
transform(X) applies dimensionality reduction to X.
References:
https://scikit-learn.org/stable/modules/generated/sklearn.decomposition.PCA.html

NEW QUESTION # 471
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a Python script named train.py in a local folder named scripts. The script trains a regression model by using scikit-learn. The script includes code to load a training data file which is also located in the scripts folder.
You must run the script as an Azure ML experiment on a compute cluster named aml-compute.
You need to configure the run to ensure that the environment includes the required packages for model training. You have instantiated a variable named aml-compute that references the target compute cluster.
Solution: Run the following code:

Does the solution meet the goal?

A. No
B. Yes

Answer: B

Explanation:
The scikit-learn estimator provides a simple way of launching a scikit-learn training job on a compute target. It is implemented through the SKLearn class, which can be used to support single-node CPU training.
Example:
from azureml.train.sklearn import SKLearn
}
estimator = SKLearn(source_directory=project_folder,
compute_target=compute_target,
entry_script='train_iris.py'
)
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-train-scikit-learn

NEW QUESTION # 472
......

The customers can immediately start using the Designing and Implementing a Data Science Solution on Azure (DP-100) exam dumps of Actual4Cert after buying it. In this way, one can save time and instantly embark on the journey of DP-100 test preparation. 24/7 customer service is also available at Actual4Cert. Feel free to reach our customer support team if you have any questions about our DP-100 Exam Preparation material.

Reliable DP-100 Exam Sims: https://www.actual4cert.com/DP-100-real-questions.html

BTW, DOWNLOAD part of Actual4Cert DP-100 dumps from Cloud Storage: https://drive.google.com/open?id=1a0oW4ekPeYPs0NJHZvN5nfjhU4vFQoni

Cookie	Duration	Description
cookielawinfo-checkbox-analytics	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
cookielawinfo-checkbox-functional	11 months	The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
cookielawinfo-checkbox-necessary	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-others	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
cookielawinfo-checkbox-performance	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
viewed_cookie_policy	11 months	The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.

Greg Owens Greg Owens

Biography

COOKIE NOTICE