{"id":926,"date":"2023-02-13T14:57:58","date_gmt":"2023-02-13T14:57:58","guid":{"rendered":"https:\/\/blog.topexamcollection.com\/?p=926"},"modified":"2023-02-13T14:57:58","modified_gmt":"2023-02-13T14:57:58","slug":"best-microsoft-dp-500-2023-training-with-115-qas-q18-q36","status":"publish","type":"post","link":"https:\/\/blog.topexamcollection.com\/ko\/2023\/02\/best-microsoft-dp-500-2023-training-with-115-qas-q18-q36\/","title":{"rendered":"Best Microsoft DP-500 2023 Training With 115 QA’s [Q18-Q36]"},"content":{"rendered":"\n\n
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Best Microsoft DP-500 2023 Training With 115 QA’s<\/span><\/strong><\/span><\/p>\n

Microsoft DP-500 Certification Exam Questions<\/span><\/strong><\/p>\n

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Microsoft DP-500 Exam Syllabus Topics:<\/h3>\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Topic<\/th>\nDetails<\/th>\n<\/tr>\n
Topic 1<\/td>\n\n
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  • Recommend appropriate file types for querying serverless SQL pools<\/li>\n
  • Commit code and artifacts to a source control repository in Azure Synapse Analytics<\/li>\n<\/ul>\n<\/td>\n<\/tr>\n
Topic 2<\/td>\n\n
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  • Explore and visualize data by using the Azure Synapse SQL results pane<\/li>\n
  • Deploy and manage datasets by using the XMLA endpoint<\/li>\n<\/ul>\n<\/td>\n<\/tr>\n
Topic 3<\/td>\n\n
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  • Identify data loading performance bottlenecks in Power Query or data sources<\/li>\n
  • Integrate an existing Power BI workspace into Azure Synapse Analytics<\/li>\n<\/ul>\n<\/td>\n<\/tr>\n
Topic 4<\/td>\n\n
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  • Perform impact analysis of downstream dependencies from dataflows and datasets<\/li>\n
  • Manage Power BI assets by using Azure Purview<\/li>\n<\/ul>\n<\/td>\n<\/tr>\n
Topic 5<\/td>\n\n
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  • Design and implement enterprise-scale row-level security and object-level security<\/li>\n
  • Analyze data model efficiency by using VertiPaq Analyzer<\/li>\n<\/ul>\n<\/td>\n<\/tr>\n
Topic 6<\/td>\n\n
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  • Identify requirements for a solution, including features, performance, and licensing strategy<\/li>\n
  • Recommend and configure an on-premises gateway in Power BI<\/li>\n<\/ul>\n<\/td>\n<\/tr>\n
Topic 7<\/td>\n\n
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  • Create queries, functions, and parameters by using the Power Query Advanced Editor<\/li>\n
  • Identify and implement performance improvements in queries and report visuals<\/li>\n<\/ul>\n<\/td>\n<\/tr>\n
Topic 8<\/td>\n\n
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  • Design and configure Power BI reports for accessibility<\/li>\n
  • Implement performance improvements in Power Query and data sources<\/li>\n<\/ul>\n<\/td>\n<\/tr>\n
Topic 9<\/td>\n\n
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  • Identify an appropriate Azure Synapse pool when analyzing data<\/li>\n
  • Design and build composite models, including aggregations<\/li>\n<\/ul>\n<\/td>\n<\/tr>\n
Topic 10<\/td>\n\n
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  • Query advanced data sources, including JSON, Parquet, APIs, and Azure Machine Learning models<\/li>\n
  • Connect to and query datasets by using the XMLA endpoint<\/li>\n<\/ul>\n<\/td>\n<\/tr>\n
Topic 11<\/td>\n\n
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  • Integrate an analytics platform into an existing IT infrastructure<\/li>\n
  • Create and distribute paginated reports in Power BI Report Builder<\/li>\n<\/ul>\n<\/td>\n<\/tr>\n<\/table>\n

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     <\/p>\n

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    Q18.<\/strong> You are creating a Python visual in Power Bl Desktop.
    You need to retrieve the value of a column named Unit Price from a DataFrame.
    How should you reference the Unit Price column in the Python code?<\/p>\n<\/div>