Microsoft AZ900 Exam Dumps|QAs Page -2

Last updated on October 16th, 2024 at 03:54 pm

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

Microsoft AZ900 Exam Dumps – QAs 26-50

Q26. 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?

1. Yes
2. No

Q27. 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?

1. Yes
2. No

Q28. HOTSPOT –
You need to consider the underlined segment to establish whether it is accurate.
Hot Area:

Correct Answer

Q29. HOTSPOT –
Complete the sentence by selecting the correct option in the answer area.
Hot Area:

Correct Answer

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

Q30. DRAG DROP –
You are in the process of constructing a regression model.
You would like to make it a Poisson regression model. To achieve your goal, the feature values need to meet certain conditions.
Which of the following are relevant conditions with regards to the label data? Answer by dragging the correct options from the list to the answer area.
Select and Place:

Correct Answer

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

Q31. 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?

1. Yes
2. No

Q32. You want to train a classification model using data located in a comma-separated values (CSV) file.
The classification model will be trained via the Automated Machine Learning interface using the Classification task type.
You have been informed that only linear models need to be assessed by the Automated Machine Learning.
Which of the following actions should you take?

1. You should disable deep learning.
2. You should enable automatic featurization.
3. You should disable automatic featurization.
4. You should set the task type to Forecasting.

Q33. You make use of Azure Machine Learning Studio to develop a linear regression model. You perform an experiment to assess various algorithms.
Which of the following is an algorithm that reduces the variances between actual and predicted values?

1. Fast Forest Quantile Regression
2. Poisson Regression
3. Boosted Decision Tree Regression
4. Linear Regression

Q34. 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 constructing a machine learning model that translates language text into a different language text.
The machine learning model must be constructed and trained to learn the sequence of the.
Recommendation: You make use of Recurrent Neural Networks (RNNs).
Will the requirements be satisfied?

1. Yes
2. No

Q35. DRAG DROP –
You build a binary classification model using the Azure Machine Learning Studio Two-Class Neural Network module.
You are preparing to configure the Tune Model Hyperparameters module for the purpose of tuning accuracy for the model.
Which of the following are valid parameters for the Two-Class Neural Network module? Answer by dragging the correct options from the list to the answer area.
Select and Place:

Correct Answer

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/two-class-neural-network

Q36. 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 planning to make use of Azure Machine Learning designer to train models.
You need choose a suitable compute type.
Recommendation: You choose Attached compute.
Will the requirements be satisfied?

1. Yes
2. No

Q37. 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 planning to make use of Azure Machine Learning designer to train models.
You need choose a suitable compute type.
Recommendation: You choose Compute cluster.
Will the requirements be satisfied?

1. Yes
2. No

Q38. You are developing a hands-on workshop to introduce Docker for Windows to attendees.
You need to ensure that workshop attendees can install Docker on their devices.
Which two prerequisite components should attendees install on the devices? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

1. Microsoft Hardware-Assisted Virtualization Detection Tool
2. Kitematic
3. BIOS-enabled virtualization
4. VirtualBox
5. Windows 10 64-bit Professional

Q39. DRAG DROP –
You are building an intelligent solution using machine learning models.
The environment must support the following requirements:
✑ Data scientists must build notebooks in a cloud environment
✑ Data scientists must use automatic feature engineering and model building in machine learning pipelines.
✑ Notebooks must be deployed to retrain using Spark instances with dynamic worker allocation.
✑ Notebooks must be exportable to be version controlled locally.
You need to create the environment.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Select and Place:

Correct Answer

Reference:
https://docs.microsoft.com/en-us/azure/hdinsight/spark/apache-spark-zeppelin-notebook

Q40. You are developing deep learning models to analyze semi-structured, unstructured, and structured data types.
You have the following data available for model building:
✑ Video recordings of sporting events
✑ Transcripts of radio commentary about events
✑ Logs from related social media feeds captured during sporting events
You need to select an environment for creating the model.
Which environment should you use?

1. Azure Cognitive Services
2. Azure Data Lake Analytics
3. Azure HDInsight with Spark MLib
4. Azure Machine Learning Studio

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

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

Correct Answer

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.

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

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

Q46. You have been tasked with ascertaining if two sets of data differ considerably. You will make use of Azure Machine Learning Studio to complete your task.
You plan to perform a paired t-test.
Which of the following are conditions that must apply to use a paired t-test? (Choose all that apply.)

1. All scores are independent from each other.
2. You have a matched pairs of scores.
3. The sampling distribution of d is normal.
4. The sampling distribution of x1- x2 is normal.

Q47. 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 constructing a machine learning model that translates language text into a different language text.
The machine learning model must be constructed and trained to learn the sequence of the.
Recommendation: You make use of Generative Adversarial Networks (GANs).
Will the requirements be satisfied?

1. Yes
2. No

Q48. You are in the process of constructing a deep convolutional neural network (CNN). The CNN will be used for image classification.
You notice that the CNN model you constructed displays hints of overfitting.
You want to make sure that overfitting is minimized, and that the model is converged to an optimal fit.
Which of the following is TRUE with regards to achieving your goal?

1. You have to add an additional dense layer with 512 input units, and reduce the amount of training data.
2. You have to add L1/L2 regularization, and reduce the amount of training data.
3. You have to reduce the amount of training data and make use of training data augmentation.
4. You have to add L1/L2 regularization, and make use of training data augmentation.
5. You have to add an additional dense layer with 512 input units, and add L1/L2 regularization.

Q49. DRAG DROP-
You create an Azure Machine Learning workspace.
You must implement dedicated compute for model training in the workspace by using Azure Synapse compute resources. The solution must attach the dedicated compute and start an Azure Synapse session.
You need to implement the computer resources.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Correct Answer

Q50. You are implementing a machine learning model to predict stock prices.
The model uses a PostgreSQL database and requires GPU processing.
You need to create a virtual machine that is pre-configured with the required tools.
What should you do?

1. Create a Data Science Virtual Machine (DSVM) Windows edition.
2. Create a Geo Al Data Science Virtual Machine (Geo-DSVM) Windows edition.
3. Create a Deep Learning Virtual Machine (DLVM) Linux edition.
4. Create a Deep Learning Virtual Machine (DLVM) Windows edition.