Microsoft Azure

Designing and Implementing a Data Science Solution on Azure

DP-100

Master data science on Azure with the DP-100 exam focusing on designing and implementing solutions.

138 questions 0 views Free
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Questions 41–50 of 138

Q41

A company needs to analyze large datasets in real-time. Which Azure service should they use?

  • A Azure Data Lake Storage
  • B Azure Stream Analytics
  • C Azure Blob Storage
  • D Azure SQL Database
Explanation Azure Stream Analytics specializes in real-time data analysis, unlike the other services that serve different purposes.
Q42

You are configuring an Azure Machine Learning workspace. What happens if you set up a dedicated compute cluster?

  • A Costs will be significantly higher.
  • B It can auto-scale according to need.
  • C It's only used for inferencing.
  • D It requires a minimum of five nodes.
Explanation A dedicated compute cluster can indeed auto-scale, contrary to implications about costs or minimum hardware requirements.
Q43

Which Azure service is primarily used for model training and experimentation?

  • A Azure Machine Learning
  • B Azure Blob Storage
  • C Azure DevOps
  • D Azure SQL Database
Explanation Azure Machine Learning is designed for model training, unlike the others which serve different functions.
Q44

A company needs to store large amounts of unstructured data and analyze it. What is the best Azure solution?

  • A Azure Data Lake Storage
  • B Azure Cosmos DB
  • C Azure Tables
  • D Azure SQL Database
Explanation Azure Data Lake Storage is optimized for unstructured data, unlike the others which have different structures.
Q45

What happens when you set a model's deployment to 'A/B testing' in Azure?

  • A Deploys two versions for comparison.
  • B Increases model accuracy automatically.
  • C Deletes the old model version.
  • D Automatically scales the model workload.
Explanation A/B testing deploys multiple versions simultaneously for performance comparison, while the others do not reflect this process.
Q46

Which Azure service is best for training machine learning models?

  • A Azure Databricks
  • B Azure Active Directory
  • C Azure Blob Storage
  • D Azure Virtual Network
Explanation Azure Databricks provides a collaborative platform for building and training ML models, while the others serve different purposes.
Q47

A company needs to deploy a predictive model with low latency requirements. Which deployment option is best?

  • A Batch scoring
  • B Real-time endpoint
  • C Dataflow activity
  • D Data lake storage
Explanation Real-time endpoints provide low-latency access to models, unlike the others which are less responsive.
Q48

What happens when you enable model versioning in Azure Machine Learning?

  • A Only the latest model is used
  • B All models can be accessed
  • C Models cannot be updated
  • D Only trained models are versioned
Explanation Model versioning allows access to all versions, enabling flexible deployment and evaluation.
Q49

Which Azure service is best for managing large datasets analytics?

  • A Azure SQL Database
  • B Azure Databricks
  • C Azure App Service
  • D Azure Functions
Explanation Azure Databricks is designed for big data processing, while others serve different purposes.
Q50

A company needs to analyze real-time streaming data. Which Azure service should they use?

  • A Azure Data Factory
  • B Azure Stream Analytics
  • C Azure Batch
  • D Azure Blob Storage
Explanation Azure Stream Analytics is tailored for real-time data analysis, unlike the other services.