DP-100
Designing & Implementing a Data
Science on Azure
EXAM READINESS GUIDE
Q&S
©2024/2025
,1. What is the primary purpose of Azure Machine Learning
Service?
a) To provide cloud storage for data
b) To offer a development environment for gaming
c) To enable the creation, training, and deployment of
machine learning models
d) To facilitate the management of virtual machines
Answer: c) To enable the creation, training, and
deployment of machine learning models
2. Which of the following is a benefit of using Automated ML
in Azure Machine Learning?
a) It automatically cleans all input data.
b) It provides a no-code solution for model training.
c) It guarantees the creation of the most accurate model.
d) It eliminates the need for data scientists.
Answer: b) It provides a no-code solution for model
training.
3. When preparing data for a machine learning solution on
Azure, what is the role of Azure Data Lake?
a) To act as a streaming analytics service
b) To serve as a scalable data storage and analytics
service
c) To provide a data visualization tool
d) To offer a database management system
Answer: b) To serve as a scalable data storage and
analytics service
4. In the context of Azure Machine Learning, what does the
term 'model drift' refer to?
©2024/2025
, a) The physical movement of servers hosting the model
b) The change in model performance due to new data
over time
c) The process of exporting a model from the cloud to a
local server
d) The version control system for model management
Answer: b) The change in model performance due to new
data over time
5. Which Azure service is primarily used to orchestrate data
workflows for machine learning processes?
a) Azure Functions
b) Azure Logic Apps
c) Azure Machine Learning pipelines
d) Azure Kubernetes Service
Answer: c) Azure Machine Learning pipelines
6. What is the function of Azure Cognitive Services in the
context of a machine learning solution?
a) To provide infrastructure as a service
b) To offer pre-built AI models for common cognitive tasks
c) To manage the deployment of containerized
applications
d) To automate the machine learning model training
process
Answer: b) To offer pre-built AI models for common
cognitive tasks
7. When designing a machine learning solution on Azure,
which factor is crucial for ensuring the model's scalability?
a) The color scheme of the user interface
b) The choice of programming language
c) The selection of appropriate compute resources
©2024/2025
Designing & Implementing a Data
Science on Azure
EXAM READINESS GUIDE
Q&S
©2024/2025
,1. What is the primary purpose of Azure Machine Learning
Service?
a) To provide cloud storage for data
b) To offer a development environment for gaming
c) To enable the creation, training, and deployment of
machine learning models
d) To facilitate the management of virtual machines
Answer: c) To enable the creation, training, and
deployment of machine learning models
2. Which of the following is a benefit of using Automated ML
in Azure Machine Learning?
a) It automatically cleans all input data.
b) It provides a no-code solution for model training.
c) It guarantees the creation of the most accurate model.
d) It eliminates the need for data scientists.
Answer: b) It provides a no-code solution for model
training.
3. When preparing data for a machine learning solution on
Azure, what is the role of Azure Data Lake?
a) To act as a streaming analytics service
b) To serve as a scalable data storage and analytics
service
c) To provide a data visualization tool
d) To offer a database management system
Answer: b) To serve as a scalable data storage and
analytics service
4. In the context of Azure Machine Learning, what does the
term 'model drift' refer to?
©2024/2025
, a) The physical movement of servers hosting the model
b) The change in model performance due to new data
over time
c) The process of exporting a model from the cloud to a
local server
d) The version control system for model management
Answer: b) The change in model performance due to new
data over time
5. Which Azure service is primarily used to orchestrate data
workflows for machine learning processes?
a) Azure Functions
b) Azure Logic Apps
c) Azure Machine Learning pipelines
d) Azure Kubernetes Service
Answer: c) Azure Machine Learning pipelines
6. What is the function of Azure Cognitive Services in the
context of a machine learning solution?
a) To provide infrastructure as a service
b) To offer pre-built AI models for common cognitive tasks
c) To manage the deployment of containerized
applications
d) To automate the machine learning model training
process
Answer: b) To offer pre-built AI models for common
cognitive tasks
7. When designing a machine learning solution on Azure,
which factor is crucial for ensuring the model's scalability?
a) The color scheme of the user interface
b) The choice of programming language
c) The selection of appropriate compute resources
©2024/2025
