Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI Exam Dumps

DP-500 Exam Format | Course Contents | Course Outline | Exam Syllabus | Exam Objectives

Exam Specification: DP-500 Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI

Exam Name: DP-500 Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI
Exam Code: DP-500
Exam Duration: 150 minutes
Passing Score: 700 out of 1000
Exam Format: Multiple-choice
Exam Delivery: Proctored online or at a testing center

Course Outline:

1. Introduction to Enterprise-Scale Analytics Solutions
- Overview of enterprise-scale analytics solutions
- Understanding the benefits and features of Microsoft Azure and Power BI
- Exploring the architecture and components of Azure and Power BI

2. Planning and Designing Azure Data Platform Solutions
- Gathering and analyzing business requirements
- Designing data storage and processing solutions using Azure services
- Designing data integration and data movement solutions

3. Designing Data Processing Solutions
- Designing batch processing solutions using Azure Data Factory
- Designing real-time data processing solutions using Azure Stream Analytics
- Designing big data processing solutions using Azure Databricks and HDInsight

4. Designing Data Storage Solutions
- Designing relational and non-relational data storage solutions using Azure services
- Designing data warehousing solutions using Azure Synapse Analytics
- Designing data lake and analytics solutions using Azure Data Lake Storage and Azure Analysis Services

5. Implementing Power BI Solutions
- Designing and implementing data models in Power BI
- Creating and optimizing Power BI reports and dashboards
- Implementing security and governance in Power BI

Exam Objectives:

1. Understand the concepts, benefits, and features of enterprise-scale analytics solutions using Azure and Power BI.
2. Plan and design Azure data platform solutions based on business requirements.
3. Design data processing solutions using Azure Data Factory, Azure Stream Analytics, and Azure Databricks/HDInsight.
4. Design data storage solutions using Azure services, including Azure Synapse Analytics and Azure Data Lake Storage.
5. Design and implement data models, reports, and dashboards in Power BI.
6. Implement security and governance measures in Power BI.

Exam Syllabus:

Section 1: Introduction to Enterprise-Scale Analytics Solutions (10%)
- Enterprise-scale analytics solutions overview
- Benefits and features of Azure and Power BI
- Architecture and components of Azure and Power BI

Section 2: Planning and Designing Azure Data Platform Solutions (25%)
- Gathering and analyzing business requirements
- Designing data storage and processing solutions using Azure services
- Designing data integration and data movement solutions

Section 3: Designing Data Processing Solutions (25%)
- Designing batch processing solutions using Azure Data Factory
- Designing real-time data processing solutions using Azure Stream Analytics
- Designing big data processing solutions using Azure Databricks and HDInsight

Section 4: Designing Data Storage Solutions (25%)
- Designing relational and non-relational data storage solutions using Azure services
- Designing data warehousing solutions using Azure Synapse Analytics
- Designing data lake and analytics solutions using Azure Data Lake Storage and Azure Analysis Services

Section 5: Implementing Power BI Solutions (15%)
- Designing and implementing data models in Power BI
- Creating and optimizing Power BI reports and dashboards
- Implementing security and governance in Power BI

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Microsoft
DP-500
Designing and Implementing Enterprise-Scale Analytics
Solutions Using Microsoft Azure and Microsoft Power
BI
https://killexams.com/pass4sure/exam-detail/DP-500
Question: 25
HOTSPOT
You are configuring an aggregation table as shown in the following exhibit.
The detail table is named FactSales and the aggregation table is named FactSales(Agg).
You need to aggregate SalesAmount for each store.
Which type of summarization should you use for SalesAmount and StoreKey? To answer, select the appropriate
options in the answer area. NOTE: Each correct selection is worth one point.
Answer:
Question: 26
You have a dataset that contains a table named UserPermissions.
UserPermissions contains the following data.
You plan to create a security role named User Security for the dataset. You need to filter the dataset based on the
current users .
What should you include in the DAX expression?
A. [UserPermissions] USERNAME()
B. [UserPermissions] USERPRINCIPALNAME()
C. [User] = USERPRINCIPALNAME()
D. [User] = USERNAMEQ()
E. [User] = USEROBJECTID()
Answer: D
Question: 27
You use Azure Synapse Analytics and Apache Spark notebooks to You need to use PySpark to gain access to the
visual libraries .
Which Python libraries should you use?
A. Seaborn only
B. Matplotlib and Seaborn
C. Matplotlib only
D. Matplotlib and TensorFlow
E. TensorFlow only
F. Seaborn and TensorFlow
Answer: E
Question: 28
HOTSPOT
You have the following code in an Azure Synapse notebook.
Use the drop-down menus to select the answer choice that completes each statement based on the information
presented in the code. NOTE: Each correct selection is worth one point.
Answer:
Question: 29
DRAG DROP
You need to integrate the external data source to support the planned changes.
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.
Answer:
Question: 30
HOTSPOT
You have the following code in an Azure Synapse notebook.
Use the drop-down menus to select the answer choice that completes each statement based on the information
presented in the code. NOTE: Each correct selection is worth one point.
Answer:
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