Microsoft AZ900 Exam Dumps|QAs Page -11

Last updated on July 13th, 2024 at 11:53 pm

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

Microsoft AZ900 Exam Dumps – QAs 51-55

Q51. You are moving a large dataset from Azure Machine Learning Studio to a Weka environment.
You need to format the data for the Weka environment.
Which module should you use?

1. Convert to CSV
2. Convert to Dataset
3. Convert to ARFF
4. Convert to SVMLight

Q52. You plan to use a Deep Learning Virtual Machine (DLVM) to train deep learning models using Compute Unified Device Architecture (CUDA) computations.
You need to configure the DLVM to support CUDA.
What should you implement?

1. Solid State Drives (SSD)
2. Computer Processing Unit (CPU) speed increase by using overclocking
3. Graphic Processing Unit (GPU)
4. High Random Access Memory (RAM) configuration
5. Intel Software Guard Extensions (Intel SGX) technology

Q53. HOTSPOT –
You are performing sentiment analysis using a CSV file that includes 12,000 customer reviews written in a short sentence format. You add the CSV file to Azure
Machine Learning Studio and configure it as the starting point dataset of an experiment. You add the Extract N-Gram Features from Text module to the experiment to extract key phrases from the customer review column in the dataset.
You must create a new n-gram dictionary from the customer review text and set the maximum n-gram size to trigrams.
What should you select? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:

Correct Answer

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/extract-n-gram-features-from-text

Q54. You are solving a classification task.
The dataset is imbalanced.
You need to select an Azure Machine Learning Studio module to improve the classification accuracy.
Which module should you use?

1. Permutation Feature Importance
2. Filter Based Feature Selection
3. Fisher Linear Discriminant Analysis
4. Synthetic Minority Oversampling Technique (SMOTE)

Q55. You use Azure Machine Learning Studio to build a machine learning experiment.
You need to divide data into two distinct datasets.
Which module should you use?

1. Assign Data to Clusters
2. Load Trained Model
3. Partition and Sample
4. Tune Model-Hyperparameters