DP-700 exam dumps

1. Microsoft DP-700 Exam Implementing Data Engineering Solutions Using Microsoft Fabric Questions & Answers (Demo Version - Limited Content) Thank you for Downloading DP-700 exam PDF Demo Get Full File: https://www.certifiedumps.com/microsoft/dp-700-dumps.html

2. Exam Dumps Question: 1 You need to train a machine learning model on a large dataset. The training process involves feature engineering, model selection, and hyperparameter tuning. Which of the following is the most appropriate choice for this scenario? A. A pipeline using a Spark batch job B. A notebook using Python and scikit-learn C. A pipeline using a Spark Streaming job D. A notebook using Python and Apache Flink A. B. C. D. D B A C Answer: C Explanation: A. A pipeline using a Spark batch job Here's why: Efficiency: Spark is a powerful and scalable distributed computing framework that is highly efficient for processing large datasets. Machine learning capabilities: Spark provides a rich set of APIs and libraries for machine learning tasks, including feature engineering, model selection, and hyperparameter tuning. Batch processing: A batch job is suitable for training machine learning models on large datasets, allowing you to schedule the training process and run it on a regular basis. Integration with other tools: Spark can be integrated with other tools in the Microsoft Fabric ecosystem, such as Synapse Analytics and Dataflow, for a complete data processing and machine learning pipeline. While the other options could also be used for this scenario, they may not be as efficient or suitable for training large machine learning models: Notebook using Python and scikit-learn: While Python and scikit-learn are powerful tools for machine www.certifiedumps.com

3. Exam Dumps learning, they may not be as efficient for training very large models. Spark Streaming job: Spark Streaming is designed for real-time data processing, and it may not be the most efficient choice for training batch machine learning models. Notebook using Python and Apache Flink: Apache Flink is another distributed computing framework that can be used for machine learning, but it may not be as widely integrated with the Microsoft Fabric ecosystem as Spark. Question: 2 You're creating a new domain workspace in Microsoft Fabric to host multiple workspaces for different teams. Which security best practices should you consider when configuring the domain workspace settings? A. Grant all users in the organization full access to the domain workspace B. Create a dedicated service principal for the domain workspace and manage access through role- based access control (RBAC) C. Disable all network access to the domain workspace D. Allow public access to the domain workspace for external collaboration A. B. C. D. A C B D Answer: C Explanation: B. Create a dedicated service principal for the domain workspace and manage access through role- based access control (RBAC). Here's why: A. Grant all users in the organization full access to the domain workspace: This is a major security risk as it grants excessive permissions to all users, potentially leading to unauthorized access and data breaches. B. Create a dedicated service principal for the domain workspace and manage access through role- based access control (RBAC): This is a secure approach as it allows you to grant specific permissions to different users and groups based on their roles and responsibilities. Using a dedicated service principal also provides a centralized way to manage access and audit activities. C. Disable all network access to the domain workspace: While this can be a measure to protect the workspace, it might limit its functionality and prevent necessary communication with other services. www.certifiedumps.com

4. Exam Dumps D. Allow public access to the domain workspace for external collaboration: This is generally not recommended as it exposes the workspace to potential security threats from external users. If external collaboration is necessary, consider using controlled access methods like guest access or virtual private networks (VPNs). Question: 3 You have created a shortcut to a large dataset in your Microsoft Fabric workspace. The performance of the shortcut is slow when accessing the data. Which of the following techniques is most likely to improve the performance of the shortcut? A. Increase the number of workers in the dataflow that uses the shortcut. B. Create a copy of the dataset in the workspace and use a shortcut to the copy. C. Optimize the query that uses the shortcut. D. Increase the storage capacity of the workspace. A. B. C. D. A D B C Answer: D Explanation: C. Optimize the query that uses the shortcut. Here's why: Query Optimization: The query that uses the shortcut might be inefficient, leading to slow performance. Optimizing the query, such as by adding indexes or using appropriate join conditions, can significantly improve performance. Worker Count: Increasing the number of workers in the dataflow might help in some cases, but it's not always the most effective solution, especially if the bottleneck is in the query itself. Dataset Copy: Creating a copy of the dataset might help, but it could also introduce additional overhead and maintenance costs. Storage Capacity: Increasing the storage capacity of the workspace is unlikely to improve the performance of the shortcut directly. Question: 4 You have a Spark workspace that experiences fluctuating workloads. You want to configure dynamic resource allocation to optimize costs. www.certifiedumps.com

5. Exam Dumps Which of the following statements is true about dynamic resource allocation in Microsoft Fabric? A. It automatically adjusts the number of worker nodes based on workload demand. B. It can only be enabled for batch workloads. C. It requires manual configuration of scaling policies. D. It cannot be used in conjunction with pre-allocated clusters. A. B. C. D. A B C D Answer: A www.certifiedumps.com

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