Pass Guaranteed Quiz DP-700 - High-quality Implementing Data Engineering Solutions Using Microsoft Fabric Valid Practice Questions

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Microsoft DP-700 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Monitor and optimize an analytics solution	30–35%	- Optimize performance 1. Optimize Lakehouse and data warehouse performance 2. Optimize Spark and query performance 3. Optimize pipelines and data flows 4. Optimize storage efficiency - Troubleshoot issues 1. Identify and resolve Dataflow errors 2. Identify and resolve storage and query errors 3. Identify and resolve notebook and Spark errors 4. Identify and resolve pipeline errors - Monitor analytics solutions 1. Monitor data ingestion and transformation 2. Monitor Fabric items and activities 3. Monitor semantic model refreshes 4. Configure alerts and notifications
Topic 2: Implement and manage an analytics solution	30–35%	- Configure workspace settings 1. Configure domain workspace settings 2. Configure Dataflows Gen2 settings 3. Configure Microsoft Fabric workspace settings 4. Configure Spark workspace settings 5. Configure OneLake workspace settings - Manage data storage 1. Choose appropriate data stores 2. Implement data mirroring 3. Create and manage OneLake shortcuts - Manage data lifecycle and governance 1. Implement data retention and archiving 2. Manage data access and security 3. Implement data governance with Microsoft Purview
Topic 3: Ingest and transform data	30–35%	- Transform data 1. Transform data using SQL 2. Clean, denormalize, and aggregate data 3. Transform data using PySpark 4. Transform data using KQL - Ingest data 1. Ingest data using pipelines 2. Ingest data using Dataflows Gen2 3. Ingest data using Eventstreams - Design and implement data loading patterns 1. Prepare data for dimensional models 2. Design streaming data loading patterns 3. Design full and incremental data loads - Orchestrate data operations 1. Orchestrate with notebooks and pipelines 2. Implement schedules and triggers 3. Use parameters and dynamic expressions

Section

Weight

Objectives

Topic 1: Monitor and optimize an analytics solution

30–35%

- Optimize performance

1. Optimize Lakehouse and data warehouse performance
2. Optimize Spark and query performance
3. Optimize pipelines and data flows
4. Optimize storage efficiency

- Troubleshoot issues

1. Identify and resolve Dataflow errors
2. Identify and resolve storage and query errors
3. Identify and resolve notebook and Spark errors
4. Identify and resolve pipeline errors

- Monitor analytics solutions

1. Monitor data ingestion and transformation
2. Monitor Fabric items and activities
3. Monitor semantic model refreshes
4. Configure alerts and notifications

Topic 2: Implement and manage an analytics solution

30–35%

- Configure workspace settings

1. Configure domain workspace settings
2. Configure Dataflows Gen2 settings
3. Configure Microsoft Fabric workspace settings
4. Configure Spark workspace settings
5. Configure OneLake workspace settings

- Manage data storage

1. Choose appropriate data stores
2. Implement data mirroring
3. Create and manage OneLake shortcuts

- Manage data lifecycle and governance

1. Implement data retention and archiving
2. Manage data access and security
3. Implement data governance with Microsoft Purview

Topic 3: Ingest and transform data

30–35%

- Transform data

1. Transform data using SQL
2. Clean, denormalize, and aggregate data
3. Transform data using PySpark
4. Transform data using KQL

- Ingest data

1. Ingest data using pipelines
2. Ingest data using Dataflows Gen2
3. Ingest data using Eventstreams

- Design and implement data loading patterns

1. Prepare data for dimensional models
2. Design streaming data loading patterns
3. Design full and incremental data loads

- Orchestrate data operations

1. Orchestrate with notebooks and pipelines
2. Implement schedules and triggers
3. Use parameters and dynamic expressions

>> DP-700 Valid Practice Questions <<

Exam DP-700 Answers, Printable DP-700 PDF

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Microsoft Implementing Data Engineering Solutions Using Microsoft Fabric Sample Questions (Q88-Q93):

NEW QUESTION # 88
You have a Fabric workspace that contains a warehouse named Warehouse!. Warehousel contains a table named DimCustomers. DimCustomers contains the following columns:
* CustomerName
* CustomerlD
* BirthDate
* Email
You need to configure security to meet the following requirements:
* BirthDate in DimCustomer must be masked and display 1900-01-01.
* Email in DimCustomer must be masked and display only the first leading character and the last five characters.
How should you complete the statement? To answer, select the appropriate options in the answer are a. NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 89
You need to create the product dimension.
How should you complete the Apache Spark SQL code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 90
You have three users named User1, User2, and User3.
You have the Fabric workspaces shown in the following table.

You have a security group named Group1 that contains User1 and User3.
The Fabric admin creates the domains shown in the following table.

User1 creates a new workspace named Workspace3.
You add Group1 to the default domain of Domain1.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

NEW QUESTION # 91
You have a Fabric F32 capacity that contains a workspace. The workspace contains a warehouse named DW1 that is modelled by using MD5 hash surrogate keys.
DW1 contains a single fact table that has grown from 200 million rows to 500 million rows during the past year.
You have Microsoft Power BI reports that are based on Direct Lake. The reports show year-over-year values.
Users report that the performance of some of the reports has degraded over time and some visuals show errors.
You need to resolve the performance issues. The solution must meet the following requirements:
Provide the best query performance.
Minimize operational costs.
Which should you do?

A. Increase the capacity.C Enable V-Order
B. Create views.
C. Change the MD5 hash to SHA256.
D. Modify the surrogate keys to use a different data type.

Answer: D

Explanation:
In this case, the key issue causing performance degradation likely stems from the use of MD5 hash surrogate keys. MD5 hashes are 128-bit values, which can be inefficient for large datasets like the 500 million rows in your fact table. Using a more efficient data type for surrogate keys (such as integer or bigint) would reduce the storage and processing overhead, leading to better query performance. This approach will improve performance while minimizing operational costs because it reduces the complexity of querying and indexing, as smaller data types are generally faster and more efficient to process.

NEW QUESTION # 92
You have a Fabric workspace that contains a warehouse named Warehouse!. Warehousel contains a table named DimCustomers. DimCustomers contains the following columns:
* CustomerName
* CustomerlD
* BirthDate
* Email
You need to configure security to meet the following requirements:
* BirthDate in DimCustomer must be masked and display 1900-01-01.
* Email in DimCustomer must be masked and display only the first leading character and the last five characters.
How should you complete the statement? To answer, select the appropriate options in the answer area. NOTE:
Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

NEW QUESTION # 93
......

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