PDF Version DemoIn a competitive market, a professional certificate is how ability becomes visible. The DP-700 credential speaks for your skills — and PassExamDumps supplies the 144 practice questions to prepare for it.
Microsoft DP-700 Exam Overview:
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Implementing Data Engineering Solutions Using Microsoft Fabric |
| Exam Number: | DP-700 |
| Exam Duration: | 100 minutes |
| Exam Format: | Multiple choice, Scenario-based, Interactive items, Case studies, Multiple select |
| Real Exam Qty: | 50–60 |
| Related Certifications: | Microsoft Certified: Power BI Data Analyst Associate Microsoft Certified: Azure Data Engineer Associate |
| Passing Score: | 700 (scaled score 100–1000) |
| Certificate Validity Period: | 1 year |
| Available Languages: | Portuguese (Brazil), Spanish, French, German, Japanese, Chinese (Simplified), English, Korean |
| Exam Price: | $165 USD |
| Recommended Training: | Microsoft Learn: Implementing Data Engineering Solutions Using Microsoft Fabric Microsoft Fabric Documentation |
| Exam Registration: | Microsoft Official Exam Registration Pearson VUE Registration |
| Sample Questions: |  |
| Exam Way: | Online proctored or onsite testing center |
| Pre Condition: | No mandatory prerequisites; recommended experience with data integration, transformation, SQL, PySpark, KQL, and Microsoft Fabric |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/dp-700 |
Microsoft DP-700 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Ingest and transform data | 30–35% | - Design and implement data loading patterns
|
| Topic 2: Implement and manage an analytics solution | 30–35% | - Configure workspace settings
|
| Topic 3: Monitor and optimize an analytics solution | 30–35% | - Optimize performance
|
DP-700 Exam FAQ: Prove Your Ability, Conveniently
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The Microsoft Implementing Data Engineering Solutions Using Microsoft Fabric exam contains 50–60 to complete within 100 minutes. Timed simulation in the PassExamDumps Desktop Test Engine teaches that rhythm before exam day does.
Online proctored or onsite testing center Register for the Microsoft Implementing Data Engineering Solutions Using Microsoft Fabric exam through these official channels:
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The Microsoft Implementing Data Engineering Solutions Using Microsoft Fabric exam requires 700 (scaled score 100–1000) to pass, and registration costs $165 USD. A failed attempt means paying the same fee again — a readiness check with the PassExamDumps engines before booking is the cheaper option.
The DP-700 exam is a Microsoft certification exam validating the Microsoft Implementing Data Engineering Solutions Using Microsoft Fabric syllabus shown above. It belongs to these credential paths: Microsoft Certified: Azure Data Engineer Associate, Microsoft Certified: Power BI Data Analyst Associate. Candidates in 2026 start with PassExamDumps's 144 practice questions, available as a printable PDF, a Windows Desktop Test Engine, and an Online Test Engine — three versions of the same materials.
No mandatory prerequisites; recommended experience with data integration, transformation, SQL, PySpark, KQL, and Microsoft Fabric Since requirements change over time, confirm the latest on the official Microsoft exam page before scheduling.
The official Microsoft Implementing Data Engineering Solutions Using Microsoft Fabric outline defines 3 domains. The leading three are Implement and manage an analytics solution (30–35%), Ingest and transform data (30–35%), and Monitor and optimize an analytics solution (30–35%). The full list is in the topics section above, and PassExamDumps's 144 practice questions cover each one.
Microsoft recommends these training resources for the Microsoft Implementing Data Engineering Solutions Using Microsoft Fabric exam:
- Microsoft Learn: Implementing Data Engineering Solutions Using Microsoft Fabric
- Microsoft Fabric Documentation
Follow the training with steady self-testing — the 144 practice questions from PassExamDumps help you apply theory and fill any gaps the training leaves.
Three versions of the same study materials: a printable, expert-prepared PDF with free demo download and instant access; a Desktop Test Engine for Windows with customizable simulation and timed modes that works offline; and an Online Test Engine for any browser on Windows, Mac, Android, and iOS with test history and performance review. All 144 practice questions are identical across versions. Every purchase includes 365 days of free updates, a 50% renewal discount afterward, and unlimited computer installations.
Microsoft Implementing Data Engineering Solutions Using Microsoft Fabric Sample Questions:
You need to ensure that processes for the bronze and silver layers run in isolation How should you configure the Apache Spark settings?
- A. Modify the number of executors.
- B. Set the default environment.
- C. Create a custom pool.
- D. Disable high concurrency.
Correct Answer: C 🗳️
HOTSPOT
You need to troubleshoot the ad-hoc query issue.
How should you complete the statement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation:
A screenshot of a computer Description automatically generated
SELECT last_run_start_time, last_run_command: These fields will help identify the execution details of the long-running queries.
FROM queryinsights.long_running_queries: The correct solution is to check the long-running queries using the queryinsights.long_running_queries view, which provides insights into queries that take longer than expected to execute.
WHERE last_run_total_elapsed_time_ms > 7200000: This condition filters queries that took more than 2 hours to complete (7200000 milliseconds), which is relevant to the issue described.
AND number_of_failed_runs > 1: This condition is key for identifying queries that have failed more than once, helping to isolate the problematic queries that cause failures and need attention.
Topic 2, Contoso, Ltd Case Study
This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.
To start the case study
To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.
Overview. Company Overview
Contoso, Ltd. is an online retail company that wants to modernize its analytics platform by moving to Fabric.
The company plans to begin using Fabric for marketing analytics.
Overview. IT Structure
The company's IT department has a team of data analysts and a team of data engineers that use analytics systems.
The data engineers perform the ingestion, transformation, and loading of data. They prefer to use Python or SQL to transform the data.
The data analysts query data and create semantic models and reports. They are qualified to write queries in Power Query and T-SQL.
Existing Environment. Fabric
Contoso has an F64 capacity named Cap1. All Fabric users are allowed to create items.
Contoso has two workspaces named WorkspaceA and WorkspaceB that currently use Pro license mode.
Existing Environment. Source Systems
Contoso has a point of sale (POS) system named POS1 that uses an instance of SQL Server on Azure Virtual Machines in the same Microsoft Entra tenant as Fabric. The host virtual machine is on a private virtual network that has public access blocked. POS1 contains all the sales transactions that were processed on the company's website.
The company has a software as a service (SaaS) online marketing app named MAR1. MAR1 has seven entities. The entities contain data that relates to email open rates and interaction rates, as well as website interactions. The data can be exported from MAR1 by calling REST APIs. Each entity has a different endpoint.
Contoso has been using MAR1 for one year. Data from prior years is stored in Parquet files in an Amazon Simple Storage Service (Amazon S3) bucket. There are 12 files that range in size from 300 MB to 900 MB and relate to email interactions.
Existing Environment. Product Data
POS1 contains a product list and related data. The data comes from the following three tables:
Products
ProductCategories
ProductSubcategories
In the data, products are related to product subcategories, and subcategories are related to product categories.
Existing Environment. Azure
Contoso has a Microsoft Entra tenant that has the following mail-enabled security groups:
DataAnalysts: Contains the data analysts
DataEngineers: Contains the data engineers
Contoso has an Azure subscription.
The company has an existing Azure DevOps organization and creates a new project for repositories that relate to Fabric.
Existing Environment. User Problems
The VP of marketing at Contoso requires analysis on the effectiveness of different types of email content. It typically takes a week to manually compile and analyze the data. Contoso wants to reduce the time to less than one day by using Fabric.
The data engineering team has successfully exported data from MAR1. The team experiences transient connectivity errors, which causes the data exports to fail.
Requirements. Planned Changes
Contoso plans to create the following two lakehouses:
Lakehouse1: Will store both raw and cleansed data from the sources
Lakehouse2: Will serve data in a dimensional model to users for analytical queries Additional items will be added to facilitate data ingestion and transformation.
Contoso plans to use Azure Repos for source control in Fabric.
Requirements. Technical Requirements
The new lakehouses must follow a medallion architecture by using the following three layers: bronze, silver, and gold. There will be extensive data cleansing required to populate the MAR1 data in the silver layer, including deduplication, the handling of missing values, and the standardizing of capitalization.
Each layer must be fully populated before moving on to the next layer. If any step in populating the lakehouses fails, an email must be sent to the data engineers.
Data imports must run simultaneously, when possible.
The use of email data from the Amazon S3 bucket must meet the following requirements:
Minimize egress costs associated with cross-cloud data access.
Prevent saving a copy of the raw data in the lakehouses.
Items that relate to data ingestion must meet the following requirements:
The items must be source controlled alongside other workspace items.
Ingested data must land in the bronze layer of Lakehouse1 in the Delta format.
No changes other than changes to the file formats must be implemented before the data lands in the bronze layer.
Development effort must be minimized and a built-in connection must be used to import the source data.
In the event of a connectivity error, the ingestion processes must attempt the connection again.
Lakehouses, data pipelines, and notebooks must be stored in WorkspaceA. Semantic models, reports, and dataflows must be stored in WorkspaceB.
Once a week, old files that are no longer referenced by a Delta table log must be removed.
Requirements. Data Transformation
In the POS1 product data, ProductID values are unique. The product dimension in the gold layer must include only active products from product list. Active products are identified by an IsActive value of 1.
Some product categories and subcategories are NOT assigned to any product. They are NOT analytically relevant and must be omitted from the product dimension in the gold layer.
Requirements. Data Security
Security in Fabric must meet the following requirements:
The data engineers must have read and write access to all the lakehouses, including the underlying files.
The data analysts must only have read access to the Delta tables in the gold layer.
The data analysts must NOT have access to the data in the bronze and silver layers.
The data engineers must be able to commit changes to source control in WorkspaceA.
HOTSPOT
You have a Fabric workspace that contains an eventstream named EventStream1.
You discover that an EventStream1 transformation fails.
You need to find the following error information:
The error details, including the occurrence time
The total number of errors
What should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation:
You need to create a workflow for the new book cover images.
Which two components should you include in the workflow? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
- A. a notebook that uses Apache Spark Structured Streaming
- B. a blob storage action
- C. an activator item
- D. a data pipeline
- E. a time-based schedule
- F. a streaming dataflow
Correct Answer: B,F 🗳️
You need to recommend a solution for handling old files. The solution must meet the technical requirements.
What should you include in the recommendation?
- A. a data pipeline that includes a Copy data activity
- B. a notebook that runs the VACUUM command
- C. a data pipeline that includes a Delete data activity
- D. a notebook that runs the OPTIMIZE command
Correct Answer: B 🗳️
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