DP-203 Practice Test practice questions, page 10 of 16, with answer review and explanations.
Question 46
You are performing exploratory analysis of the bus fare data in an Azure Data Lake Storage Gen2 account by using an Azure Synapse Analytics serverless SQL pool. You execute the Transact-SQL query shown in the following exhibit. What do the query results include?
Only CSV files in the tripdata_2020 subfolder.
All files that have file names that beginning with "tripdata_2020".
All CSV files that have file names that contain "tripdata_2020".
Only CSV that have file names that beginning with "tripdata_2020".
Question 47
You use PySpark in Azure Databricks to parse the following JSON input. You need to output the data in the following tabular format. How should you complete the PySpark code? 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 spit bar between panes or scroll to view content. NOTE: Each correct selection is worth one point. Select and Place:
Question 48
You are designing an application that will store petabytes of medical imaging data. When the data is first created, the data will be accessed frequently during the first week. After one month, the data must be accessible within 30 seconds, but files will be accessed infrequently. After one year, the data will be accessed infrequently but must be accessible within five minutes. You need to select a storage strategy for the data. The solution must minimize costs. Which storage tier should you use for each time frame? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. Hot Area:
Question 49
You have an Azure Synapse Analytics Apache Spark pool named Pool1. You plan to load JSON files from an Azure Data Lake Storage Gen2 container into the tables in Pool1. The structure and data types vary by file. You need to load the files into the tables. The solution must maintain the source data types. What should you do?
Use a Conditional Split transformation in an Azure Synapse data flow.
Use a Get Metadata activity in Azure Data Factory.
Load the data by using the OPENROWSET Transact-SQL command in an Azure Synapse Analytics serverless SQL pool.
Load the data by using PySpark.
Question 50
You have an Azure Databricks workspace named workspace1 in the Standard pricing tier. Workspace1 contains an all-purpose cluster named cluster1. You need to reduce the time it takes for cluster1 to start and scale up. The solution must minimize costs. What should you do first?