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Microsoft Certified: Fabric Data Engineer Associate DP-750

DP-750

Exam Code: DP-750

Exam Name: Implementing Data Engineering Solutions Using Azure Databricks

Updated: Sep 07, 2026

Q&A Number: 93 Q&As

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About Microsoft DP-750 Exam Braindumps

Certification exams change, and Getcertkey keeps pace: the DP-750 practice question set is reviewed continuously and updated free of charge for 365 days. Your Microsoft Implementing Data Engineering Solutions Using Azure Databricks preparation stays aligned with the current exam throughout 2026 and beyond.

Microsoft DP-750 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Implementing Data Engineering Solutions Using Azure Databricks
Exam Number:DP-750
Exam Price:165 USD
Exam Format:Case studies, Scenario-based questions, Multiple choice, Multiple select
Related Certifications:Microsoft Certified: Azure Data Engineer Associate
Microsoft Certified: Azure Developer Associate
Certificate Validity Period:1 year
Real Exam Qty:40–60
Available Languages:Portuguese (Brazil), Chinese (Simplified), German, Japanese, French, Korean, English, Spanish
Passing Score:700
Exam Duration:100 minutes
Recommended Training:Course DP-750T00-A: Implementing Data Engineering Solutions Using Azure Databricks
Microsoft Learn Learning Paths
Exam Registration:Pearson VUE
Microsoft Learn
Sample Questions:Free Download DP-750 Demo
Exam Way:Online proctored or onsite testing center
Pre Condition:No mandatory prerequisites; recommended experience: data integration, modeling, pipelines, SQL, Python, Azure services, Git
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/dp-750

Microsoft DP-750 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Deploy and maintain data pipelines and workloads30–35%- Monitor, troubleshoot, and maintain workloads
  • 1. Apply SDLC practices and version control
  • 2. Troubleshoot failures, repair and restart jobs
  • 3. Monitor performance, logs, and execution metrics
- Build and orchestrate pipelines
  • 1. Design and implement Lakeflow Spark Declarative Pipelines
  • 2. Configure Lakeflow Jobs: schedules, triggers, alerts, retries
  • 3. Implement CI/CD with Git, Databricks Asset Bundles, CLI, and APIs
Topic 2: Set up and configure an Azure Databricks environment15–20%- Integrate with Azure services
  • 1. Configure monitoring with Azure Monitor and diagnostic settings
  • 2. Connect to Azure Data Lake Storage, Azure Data Factory, Microsoft Entra ID
- Select and configure compute resources
  • 1. Manage workspace settings, permissions, and networking
  • 2. Configure cluster policies, instance pools, and libraries
  • 3. Choose compute types: serverless, job compute, SQL warehouse, classic compute
Topic 3: Secure and govern Unity Catalog objects15–20%- Manage data sharing and permissions
  • 1. Grant and revoke permissions, manage groups and service principals
  • 2. Set up external locations and storage credentials
- Implement data governance and security
  • 1. Configure access control: row-level, column-level, attribute-based security
  • 2. Manage catalogs, schemas, tables, views, and volumes
  • 3. Enforce data quality, lineage, and auditing
Topic 4: Prepare and process data30–35%- Optimize and manage data storage
  • 1. Optimize Delta tables: partitioning, Z-ordering, vacuum, optimize
  • 2. Handle structured, semi-structured, and unstructured data
  • 3. Implement lakehouse architecture and manage table versions
- Ingest and transform data
  • 1. Transform using Spark SQL, PySpark, Scala, and Delta Lake
  • 2. Ingest batch and streaming data from multiple sources
  • 3. Implement schema enforcement, schema drift, and slowly changing dimensions

Microsoft Implementing Data Engineering Solutions Using Azure Databricks Exam FAQ: What Candidates Ask Most

What is the Microsoft DP-750 exam?

The DP-750 exam is the official Microsoft exam behind the Microsoft Certified: Azure Databricks Data Engineer Associate certification, validating the skills measured by the Microsoft Implementing Data Engineering Solutions Using Azure Databricks credential. It sits at the Associate level of the Microsoft certification program. It also connects to Microsoft Certified: Azure Data Engineer Associate, Microsoft Certified: Azure Developer Associate, so the knowledge you build here carries over to those tracks as well.

How many questions are on the DP-750 exam, and how much time do I get?

The DP-750 exam contains 40–60 questions to be completed within 100 minutes. Before exam day, divide the available time by the question count to work out a comfortable per-question pace, and mark any item that eats into it so you can return later instead of getting stuck. Timed sessions in the Getcertkey test engines make that pacing automatic — run at least two full-length mock exams under the clock so time pressure never becomes the reason you drop points.

What score do I need to pass the DP-750 exam, and what does it cost?

The passing score for the DP-750 exam is 700, and the official registration fee is 165 USD. Retakes are not discounted — every new attempt means paying the full fee again — so it pays to measure yourself before you book. Work through the 93 practice questions on Getcertkey, sit a timed practice test, and schedule your exam only when your scores are consistently comfortable. That simple habit is the cheapest exam strategy there is.

Are there any prerequisites for the DP-750 exam?

No mandatory prerequisites; recommended experience: data integration, modeling, pipelines, SQL, Python, Azure services, Git Requirements can change when Microsoft revises its certification program, so confirm the current eligibility rules on the official exam page before you register.

How do I register for the DP-750 exam?

You can book the Microsoft Implementing Data Engineering Solutions Using Azure Databricks exam through the official registration channels below:

As for delivery, the exam is offered in the following format: Online proctored or onsite testing center. Choose the option that suits you best when you book your seat.

What official training is recommended for the DP-750 exam?

Microsoft recommends the following training resources for the Microsoft Implementing Data Engineering Solutions Using Azure Databricks exam:

Official courses build the foundation; the 93 practice questions from Getcertkey then show you how that knowledge is examined, so the two work best together.

Can I try the DP-750 practice questions before I buy?

Yes. Getcertkey provides a free DP-750 PDF demo so you can review the question style and answer quality before purchasing. Every purchase also includes 365 days of free updates — if Microsoft revises the exam during that period, the updated material reaches you at no cost. Once the free-update year ends, you can extend your update service at a 50% discount.

What if I fail the DP-750 exam, and how is my order delivered?

Every Microsoft Implementing Data Engineering Solutions Using Azure Databricks purchase on Getcertkey is covered by a 100% money-back guarantee with clear conditions: if you take the corresponding exam within 60 days of your purchase and do not pass, you can claim a full refund by submitting a scanned copy of your exam enrollment slip and your official score report as a PDF within two days of the exam date; claims are processed within seven days of submission. The guarantee does not apply to exams taken within three days of purchase, to material that was downloaded but never used in an exam attempt, or to free products and expired orders, and the candidate name must match the payer name. If you would rather not take a refund, you can instead exchange your purchase for two free exam preparation products of equal value and keep the update service on your original product.

Delivery is instant: your download is sent to your email within one minute of payment, with no limit on how many computers you may install the material on. If nothing arrives within two hours, check your spam folder and contact customer service for help.

What topics are covered in the DP-750 exam?

The Microsoft Implementing Data Engineering Solutions Using Azure Databricks exam blueprint is organized into 4 domains. The first three are:

  • Prepare and process data — 30–35% of the exam
  • Secure and govern Unity Catalog objects — 15–20% of the exam
  • Deploy and maintain data pipelines and workloads — 30–35% of the exam

For the complete domain-by-domain breakdown, scroll up to the full exam topics outline above and use it to plan how you distribute your study time.

Microsoft Implementing Data Engineering Solutions Using Azure Databricks Sample Questions:

Question 1

You have an Azure Databricks workspace.
You have a streaming table named sales_order that is populated by using a Lakeflow Spark Declarative Pipelines (SDP) pipeline.
You need to create a new streaming table named sales_order_by_city that summarizes sales by city and calculates the total sales per city.
How should you complete the SQL statement? To answer, drag the appropriate values to the correct targets.
Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.


Question 2

You have an Azure Databricks workspace
You are creating a Lakeflow Spark Declarative Pipelines (SDP) pipeline that scales automatically. You need to configure compute for the pipeline. The solution must minimize operational costs and effort. What should you use?

A. an all-purpose cluster that uses autoscaling
B. the existing SQL warehouse
C. a single-node, all-purpose cluster
D. a job cluster that uses autoscaling


Question 3

You have an Azure Databricks workspace that contains a job in Lakeflow Jobs named Job1. Job1 contains multiple tasks.
Failures of non-critical tasks must be logged but must NOT trigger notifications. Notifications must be triggered only when critical tasks have failed, and Job1 has completed You need to configure the job alerting behavior.
What should trigger a notification?

A. task success
B. a job failure
C. a task failure
D. job success


Question 4

You have an Azure Databricks workspace named Workspace1. You create a compute cluster named Cluser1 that will be used to ingest data.
You need to install the required libraries on Cluster 1. The solution must use Unity Catalog for access control.
What should you do?

A. Install the libraries by using pip3.
B. Install the libraries on Cluster1 and manually restart the cluster.
C. Create a custom dependency management script and run the script from a Databricks notebook.
D. Upload the libraries to Workspace1 and install the libraries on Cluster1.


Question 5

You have an Azure Databricks workspace that contains an all-purpose cluster named Cluster! You need to configure Cluster1 to meet the following requirements;
* The cluster must scale up automatically when workloads increase.
* The cluster must scale down automatically when workloads decrease.
The solution must minimize costs.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A. Enable autoscaling for Cluster1.
B. Configure Cluster1 to terminate after 30 minutes of inactivity.
C. Specify a fixed number of workers.
D. Disable Photon acceleration.
E. Apply a compute policy that enables users to manage the cluster settings.


Solutions:

Question 1
Answer: Only visible for members
Question 2
Answer: D
Question 3
Answer: B
Question 4
Answer: A
Question 5
Answer: A,B

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