Are DP-700 Exam Dumps the Key to Microsoft Certification Success?

1. Microsoft DP-700 Implementing Data Engineering Solutions Using Microsoft Fabric QUESTION & ANSWERS Visit Now:https://www.microsoftdumps.us

2. Topics Number of Questions 5 5 358 368 Topic 1 : Contoso, Ltd Topic 2 : Litware, Inc Mix Questions : Total Topic 2 Case Study: Topic 2 Title : Litware, Inc 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 Litware, Inc. is a publishing company that has an online bookstore and several retail bookstores worldwide. Litware also manages an online advertising business for the authors it represents. Existing Environment. Fabric Environment

3. Litware has a Fabric workspace named Workspace1. High concurrency is enabled for Workspace1. The company has a data engineering team that uses Python for data processing. Existing Environment. Data Processing The retail bookstores send sales data at the end of each business day, while the online bookstore constantly provides logs and sales data to a central enterprise resource planning (ERP) system. Litware implements a medallion architecture by using the following three layers: bronze, silver, and gold. The sales data is ingested from the ERP system as Parquet files that land in the Files folder in a lakehouse. Notebooks are used to transform the files in a Delta table for the bronze and silver layers. The gold layer is in a warehouse that has V-Order disabled. Litware has image files of book covers in Azure Blob Storage. The files are loaded into the Files folder. Existing Environment. Sales Data Month-end sales data is processed on the first calendar day of each month. Data that is older than one month never changes. In the source system, the sales data refreshes every six hours starting at midnight each day. The sales data is captured in a Dataflow Gen1 dataflow. When the dataflow runs, new and historical data is captured. The dataflow captures the following fields of the source: Sales Date Author Price Units SKU A table named AuthorSales stores the sales data that relates to each author. The table contains a column named AuthorEmail. Authors authenticate to a guest Fabric tenant by using their email address. Existing Environment. Security Groups Litware has the following security groups: Sales Fabric Admins Streaming Admins Existing Environment. Performance Issues Business users perform ad-hoc queries against the warehouse. The business users indicate that reports against the warehouse sometimes run for two hours and fail to load as expected. Upon further investigation, the data

4. engineering team receives the following error message when the reports fail to load: “The SQL query failed while running.” The data engineering team wants to debug the issue and find queries that cause more than one failure. When the authors have new book releases, there is often an increase in sales activity. This increase slows the data ingestion process. The company’s sales team reports that during the last month, the sales data has NOT been up-to-date when they arrive at work in the morning. Requirements. Planned Changes Litware recently signed a contract to receive book reviews. The provider of the reviews exposes the data in Amazon Simple Storage Service (Amazon S3) buckets. Litware plans to manage Search Engine Optimization (SEO) for the authors. The SEO data will be streamed from a REST API. Requirements. Version Control Litware plans to implement a version control solution in Fabric that will use GitHub integration and follow the principle of least privilege. Requirements. Governance Requirements To control data platform costs, the data platform must use only Fabric services and items. Additional Azure resources must NOT be provisioned. Requirements. Data Requirements Litware identifies the following data requirements: Process the SEO data in near-real-time (NRT). Make the book reviews available in the lakehouse without making a copy of the data. When a new book cover image arrives in the Files folder, process the image as soon as possible. QUESTION: 1 Topic 2 Litware, Inc 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.

5. Answer :

6. Explanation/Reference: 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. Download All Questions: https://www.microsoftdumps.us/DP-700-exam-questions MIXED Questions QUESTION: 2 HOTSPOT You have a Fabric workspace that contains an eventstream named EventStream1. You discover that an EventStream1 transformation fails.

7. 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. Answer : Explanation/Reference:

8. Download All Questions: https://www.microsoftdumps.us/DP-700-exam-questions QUESTION: 3 In Microsoft Fabric, what is the main purpose of Synapse Data Hub? Option A : To monitor real-time application performance Option B : To monitor real-time application performance Option C : To provide managed machine learning services Option D : To unify data integration and analytics workflows Correct Answer: D Explanation/Reference: Synapse Data Hub in Microsoft Fabric is designed to provide a seamless environment for integrating, exploring, and analyzing data across various sources. Domain Data Integration and Analytics Download All Questions: https://www.microsoftdumps.us/DP-700-exam-questions QUESTION: 4 You have a Fabric workspace that contains a Real-Time Intelligence solution and an eventhouse. Users report that from OneLake file explorer, they cannot see the data from the eventhouse. You enable OneLake availability for the eventhouse. What will be copied to OneLake?

9. Option A : only data added to new databases that are added to the eventhouse Option B : only the existing data in the eventhouse Option C : no data Option D : both new data and existing data in the eventhouse Option E : only new data added to the eventhouse Correct Answer: D Explanation/Reference: When you enable OneLake availability for an eventhouse, both new and existing data in the eventhouse will be copied to OneLake. This feature ensures that data, whether newly ingested or already present, becomes available for access through OneLake, making it easier for users to interact with and explore the data directly from OneLake file explorer. Download All Questions: https://www.microsoftdumps.us/DP-700-exam-questions QUESTION: 5 What is the benefit of partitioning data in Microsoft Fabric? Option A : Better visualization capabilities Option B : Improved query performance Option C : Enhanced security Option D : Real-time data processing Correct Answer: B Explanation/Reference: Data partitioning divides datasets into manageable chunks, enhancing query performance by enabling parallelism and reducing processing time. Domain Data Optimization and Tuning QUESTION: 6 Which service in Microsoft Fabric is primarily used for orchestration and automation of data workflows?

10. Option A : Azure Data Factory Option B : Azure Synapse Analytics Option C : Power BI Option D : Azure Blob Storage Correct Answer: A Explanation/Reference: Azure Data Factory provides data orchestration and automation capabilities within Microsoft Fabric. Domain Data Orchestration and Automation Download All Questions: https://www.microsoftdumps.us/DP-700-exam-questions QUESTION: 7 Which storage format is best suited for optimizing read performance in Microsoft Fabric? Option A : JSON Option B : XML Option C : Parquet Option D : CSV Correct Answer: C Explanation/Reference: Parquet’s columnar format provides better compression and faster query performance for analytical workloads in Microsoft Fabric. Domain Data Storage Solutions QUESTION: 8 You have a Fabric workspace that contains an eventstream named EventStreaml. EventStreaml outputs events to a table named Tablel in a lakehouse. The streaming data is souiced from motorway sensors and

11. represents the speed of cars. You need to add a transformation to EventStream1 to average the car speeds. The speeds must be grouped by non-overlapping and contiguous time intervals of one minute. Each event must belong to exactly one window. Which windowing function should you use? Option A : sliding Option B : hopping Option C : tumbling Option D : session Correct Answer: C Download All Questions: https://www.microsoftdumps.us/DP-700-exam-questions QUESTION: 9 Which tool in Microsoft Fabric is used to ensure data privacy and regulatory compliance? Option A : Azure Purview Option B : Azure Synapse Analytics Option C : Azure Event Hubs Option D : Azure Data Factory Correct Answer: A Explanation/Reference: Azure Purview helps manage data privacy and regulatory compliance through its metadata management and data governance capabilities in Microsoft Fabric. Domain Data Governance QUESTION: 10 Which of the following would be the best practice to optimize query performance in a Microsoft Fabric solution? Option A : Adding unnecessary joins in the query Option B : Running all queries as a single large operation Option C : Avoiding the use of indexes in frequently queried columns Option D : Breaking complex queries into smaller, more manageable subqueries

12. Correct Answer: D Explanation/Reference: Breaking queries into smaller subqueries can lead to better performance by reducing the scope and complexity of each operation. Domain Performance Tuning Download All Questions: https://www.microsoftdumps.us/DP-700-exam-questions QUESTION: 11 Which PySpark method repartitions a DataFrame to optimize parallel processing? Option A : persist Option B : coalesce Option C : collect Option D : repartition Correct Answer: D Explanation/Reference: Repartitioning in PySpark ensures optimal use of parallel processing by redistributing data across the desired number of partitions. Domain Data Engineering with Spark and PySpark QUESTION: 12 Which of the following is the primary benefit of using data lakes for data storage in Microsoft Fabric? Option A : Multi-dimensional data modeling Option B : Support for unstructured data storage at scale Option C : Real-time data querying

13. Option D : Transactional processing capabilities Correct Answer: B Explanation/Reference: Data lakes are optimized for storing vast amounts of unstructured data and handling large-scale analytics. Domain Data Storage and Retrieval Download All Questions: https://www.microsoftdumps.us/DP-700-exam-questions QUESTION: 13 Which practice is beneficial for maintaining optimal performance in analytics workflows? Option A : Regularly reviewing and updating data models Option B : Running all queries without caching Option C : Implementing load balancing Option D : Avoiding query optimization Correct Answer: C Explanation/Reference: Updating data models and implementing load balancing are effective strategies to maintain high-performance analytics workflows. Domain Analytics Workflows QUESTION: 14 HOTSPOT You have a Fabric workspace that contains a warehouse named Warehouse!. Warehousel contains a table named DimCustomers. DimCustomers contains the following columns:

14. 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 :

15. QUESTION: 15 Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution. After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen. You have a Fabric eventstream that loads data into a table named Bike_Location in a KQL database. The table contains the following columns: BikepointID Street Neighbourhood No_BikesNo_Empty_Docks Timestamp You need to apply transformation and filter logic to prepare the data for consumption. The solution must return data for a neighbourhood named Sands End when No_Bikes is at least 15. The results must be ordered by No_Bikes in ascending order. Solution: You use the following code segment:

16. Does this meet the goal? Answer : Yes Answer : no Explanation/Reference: This code does not meet the goal because this is an SQL-like query and cannot be executed in KQL, which is required for the database. Correct code should look like: Download All Questions: https://www.microsoftdumps.us/DP-700-exam-questions QUESTION: 16

17. What is the primary function of Azure Purview in Microsoft Fabric? Option A : Data transformation Option B : Data visualization Option C : Data governance and metadata management Option D : Real-time analytics Correct Answer: C Explanation/Reference: Azure Purview is a comprehensive data governance solution within Microsoft Fabric that helps organizations manage metadata, track data lineage, and ensure compliance. Domain Data Governance and Compliance QUESTION: 17 Which of the following should be implemented to ensure compliance with data privacy regulations? Option A : Allow unrestricted access to all users Option B : Store all data in public clouds Option C : Data classification and labeling Option D : Audit logging and monitoring Correct Answer: C,D Explanation/Reference: Implementing data classification, labeling, and audit logging are essential steps for ensuring compliance with data privacy regulations. Domain Data Governance and Compliance

18. QUESTION: 18 What is the primary purpose of implementing data masking in Microsoft Fabric? Option A : To ensure compliance with regulatory standards Option B : To prevent unauthorized access to sensitive data Option C : To optimize data storage efficiency Option D : To accelerate data processing Correct Answer: B Explanation/Reference: Data masking ensures that sensitive information is hidden or obfuscated, protecting it from unauthorized access, which is crucial for maintaining data privacy. Domain Data Security Download All Questions: https://www.microsoftdumps.us/DP-700-exam-questions QUESTION: 19 How can you monitor the progress and health of a data pipeline in real-time within Azure Data Factory? Option A : Using the Monitoring dashboard Option B : Using linked services Option C : Using Azure Monitor alerts Option D : Using Activity Logs Correct Answer: A

19. Explanation/Reference: The Monitoring dashboard in Azure Data Factory provides detailed, real-time information about the health and execution status of data pipelines. Domain Monitoring Data Pipelines QUESTION: 20 Which of the following are key components of a data governance strategy? Option A : Data access and usage policies Option B : Data ownership and stewardship Option C : Data encryption only Option D : Data quality and accuracy standards Correct Answer: A,B,D Explanation/Reference: A strong data governance strategy includes clear ownership, data quality standards, and access controls to ensure proper data management. Domain Data Governance Download All Questions: https://www.microsoftdumps.us/DP-700-exam-questions QUESTION: 21 Which feature in Microsoft Fabric simplifies the integration of various data sources? Option A : Synapse Analytics Option B : Data Lake Storage Option C : Azure Purview Option D : Dataflows

20. Correct Answer: D Explanation/Reference: Dataflows in Microsoft Fabric simplify the process of integrating and transforming data from multiple sources, reducing complexity. Domain Data Integration and ETL

21. QUESTION: 22 You have a Fabric workspace that contains a data pipeline named Pipeline! as shown in the exhibit. (Click the Exhibit tab.) What will occur the next time Pipelinel tuns? Option A : Both activities will run simultaneously. Option B : Both activities will be skipped. Option C : Execute procedurel will run and Copy_kdi will be skipped. Option D : Copy.kdi will run and Execute procedurel will be skipped. Option E : Execute procedure1 will run first, and then Copy_kdi will run. Option F : Copy.kdi will run first, and then Execute procedurel will run. Correct Answer: A QUESTION: 23 Which service in Microsoft Fabric is best for managing the lifecycle of data, including tracking its lineage, transformation, and access? Option A : Azure Data Factory Option B : Azure Synapse Analytics Option C : Azure Purview Option D : Azure Databricks Correct Answer: C Explanation/Reference: Azure Purview provides comprehensive data governance capabilities, including data lineage tracking, data

22. transformation history, and access management, which are crucial for managing the entire lifecycle of data. Domain Data Governance QUESTION: 24 Which of the following data storage formats are best suited for fast query performance in Microsoft Fabric's data warehouse? Option A : Row-based storage format Option B : ORC Option C : JSON Option D : Columnar storage format Option E : Parquet Correct Answer: B,D,E Explanation/Reference: For fast query performance, columnar storage formats like Parquet and ORC are preferred in data warehouses as they allow for efficient data retrieval during analytical querying. Domain Data Storage Formats QUESTION: 25 What is the purpose of using indexes in data tables? Option A : To reduce storage requirements Option B : To enhance data encryption Option C : To increase data redundancy Option D : To improve the speed of data retrieval Correct Answer: D

23. Explanation/Reference: Indexes improve data retrieval speed by allowing quick access to rows in a table based on indexed columns. Domain Query Optimization QUESTION: 26 What is the primary benefit of using Azure Active Directory (AAD) for managing user authentication in Microsoft Fabric? Option A : It centralizes identity management and simplifies authentication across Microsoft services Option B : It allows users to bypass password requirements Option C : It encrypts user data during transmission Option D : It provides unlimited storage for user credentials Correct Answer: A Explanation/Reference: Azure Active Directory simplifies and centralizes identity management, enabling secure authentication across various Microsoft services, helping maintain strong access control and security. Domain Data Security QUESTION: 27 Which service in Microsoft Fabric helps automate the orchestration of data workflows? Option A : Azure Purview Option B : Azure Synapse Analytics Option C : Azure Databricks Option D : Azure Data Factory

24. Correct Answer: D Explanation/Reference: Azure Data Factory is the go-to tool in Microsoft Fabric for orchestrating data workflows, allowing users to automate the movement and transformation of data across multiple services. Domain Data Workflow Orchestration and Automation QUESTION: 28 What is the role of Delta Lake in a Microsoft Fabric data pipeline? Option A : Provide advanced data visualization capabilities Option B : Enable ACID transactions and versioned data Option C : Transform raw data into ready-to-use formats Option D : Optimize query performance with caching Correct Answer: B Explanation/Reference: Delta Lake enhances data pipelines by adding ACID compliance and versioning, ensuring reliable and consistent datasets. Domain Data Engineering with Microsoft Fabric QUESTION: 29 Which tool in Microsoft Fabric is commonly used for orchestrating and automating data workflows? Option A : Power BI Option B : Azure Data Factory (ADF) Option C : Azure Purview

25. Option D : Azure Synapse Analytics Correct Answer: B Explanation/Reference: Azure Data Factory (ADF) is designed specifically to orchestrate and automate complex data workflows across various systems in Microsoft Fabric. Domain Data Workflow Automation QUESTION: 30 How does Microsoft Fabric handle data security in storage? Option A : By providing multiple user roles Option B : By utilizing delta encoding Option C : Through live monitoring Option D : Through encryption at rest Correct Answer: D Explanation/Reference: Microsoft Fabric enhances data security in storage by employing encryption at rest, ensuring that stored data is protected from unauthorized access. Domain Data Security and Compliance QUESTION: 31 Which feature of Azure Data Factory helps to monitor and manage long-running data pipelines? Option A : Pipeline Monitoring

26. Option B : Error Handling Option C : Azure Monitor Option D : Data Flow Debugging Correct Answer: A Explanation/Reference: Azure Data Factory’s pipeline monitoring tools provide real-time insights into the status and performance of long- running pipelines. Domain Monitoring Data Pipelines QUESTION: 32 Which technique is recommended to optimize SQL queries in Microsoft Fabric? Option A : Executing queries without filters Option B : Avoiding JOIN operations Option C : Using indexed columns in WHERE clauses Option D : Selecting all columns with SELECT * Correct Answer: C Explanation/Reference: Optimizing SQL queries often involves indexing columns used in WHERE clauses, which significantly reduces query execution time. Domain Data Optimization and Tuning QUESTION: 33 What is the significance of caching in Spark jobs?

27. Option A : To improve cluster scalability Option B : To minimize storage costs Option C : To store intermediate data in memory for faster access Option D : To manage resource allocation Correct Answer: C Explanation/Reference: Caching in Spark improves job performance by storing intermediate data in memory, enabling faster access during iterative computations. Domain Data Optimization and Tuning QUESTION: 34 Which of the following is a core feature of Microsoft Fabric's Azure Purview service? Option A : Data orchestration and pipeline management Option B : Data cataloging and governance Option C : Big data processing and model training Option D : Real-time analytics and reporting Correct Answer: B Explanation/Reference: Azure Purview helps organizations discover, classify, and govern data assets across their environment, ensuring better data management and compliance. Domain Data Governance QUESTION: 35

28. What is the primary purpose of data masking in Microsoft Fabric? Option A : To accelerate data processing performance Option B : To obscure sensitive data while maintaining its usability for analysis Option C : To backup data securely Option D : To encrypt data during transmission Correct Answer: B Explanation/Reference: Data masking is a data security technique used to obscure sensitive information, ensuring that personal or confidential data is not exposed during processing or analysis. Domain Data Security and Access Control QUESTION: 36 You have five Fabric workspaces. You are monitoring the execution of items by using Monitoring hub. You need to identify in which workspace a specific item runs. Which column should you view in Monitoring hub? Option A : Start time Option B : Capacity Option C : Activity name Option D : Submitter Option E : Item type Option F : Job type Option G : Location Correct Answer: G Explanation/Reference: To identify in which workspace a specific item runs in Monitoring hub, you should view the Location column. This column indicates the workspace where the item is executed. Since you have multiple workspaces and need to track the execution of