Microsoft Fabric Data Engineer Associate (DP-700) Exam Questions 2025
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The DP-700: Designing and Implementing a Data Science Solution on Azure exam is designed for professionals who plan to work with data science solutions using Microsoft Azure. Here’s a detailed overview:
Exam Details
- Exam Code: DP-700
- Exam Title: Microsoft Certified: Fabric Data Engineer Associate
- Duration: 120 minutes (approximately)
- Passing Score: 700 out of 1000
- Exam Fee: $165 USD (varies by country)
- Languages Available: English, Japanese, Chinese (Simplified), Korean, and more.
Skills Measured
The DP-700 exam covers the following areas for Microsoft Fabric Data Engineer Associate (DP-700) Exam Questions 2025:
As a candidate for this exam, you are expected to have in-depth subject matter expertise in data engineering, particularly in data loading patterns, data architectures, and orchestration processes. Your role involves designing, implementing, and optimizing end-to-end data engineering solutions that support advanced analytics and business intelligence.
In this role, your key responsibilities include:
- Ingesting and Transforming Data: You must efficiently extract, load, and transform (ELT) data from various sources, ensuring data integrity, consistency, and high availability. You work with batch and streaming data pipelines to process large-scale datasets.
- Securing and Managing an Analytics Solution: You will be responsible for implementing data security, access controls, and compliance measures to protect sensitive information. This includes managing authentication, authorization, and encryption strategies.
- Monitoring and Optimizing an Analytics Solution: Ensuring optimal performance of data workflows is crucial. You must proactively monitor system health, troubleshoot bottlenecks, and fine-tune queries and pipelines to enhance efficiency and reduce latency.
You will work closely with analytics engineers, architects, analysts, and administrators to design and deploy scalable, efficient, and secure data engineering solutions. Your collaboration with stakeholders ensures that data-driven decision-making is well-supported with accurate, timely, and actionable insights.
Technical Skills and Expertise
To excel in this role, you should have strong proficiency in:
- Structured Query Language (SQL): Writing complex queries for data manipulation, aggregation, and transformation across relational databases.
- PySpark: Implementing distributed data processing workflows, optimizing performance, and handling big data efficiently in Apache Spark environments.
- Kusto Query Language (KQL): Querying and analyzing large-scale telemetry and log data within cloud-based analytics services like Azure Monitor and Azure Data Explorer.
Skills Measured in the Exam
The exam evaluates your ability to:
- Implement and Manage an Analytics Solution: Design, configure, and maintain an end-to-end analytics solution that meets business and performance requirements.
- Ingest and Transform Data: Develop robust data ingestion pipelines, apply ETL/ELT best practices, and ensure seamless data flow across platforms.
- Monitor and Optimize an Analytics Solution: Implement monitoring strategies, optimize query performance, and troubleshoot potential issues to maintain system reliability and efficiency.
By mastering these competencies, you will be well-equipped to architect, implement, and optimize modern data engineering solutions that drive impactful analytics and business intelligence strategies.
Refer Microsoft official exam page for more details : DP-700 Exam
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Alger Reynolds –
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Theodore Miller –
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