Microsoft DP-203 Exam Dumps

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 statedgoals. Some question sets might have more than one correct solution, while othersmight not have a correct solution.After you answer a question in this section, you will NOT be able to return to it. As aresult, these questions will not appear in the review screen.You have an Azure Data Lake Storage account that contains a staging zone.You need to design a daily process to ingest incremental data from the staging zone,transform the data by executing an R script, and then insert the transformed data into adata warehouse in Azure Synapse Analytics.Solution: You schedule an Azure Databricks job that executes an R notebook, and theninserts the data into the data warehouse.Does this meet the goal?

You plan to use an Apache Spark pool in Azure Synapse Analytics to load data to an AzureData Lake Storage Gen2 account.You need to recommend which file format to use to store the data in the Data Lake Storageaccount. The solution must meet the following requirements:• Column names and data types must be defined within the files loaded to the Data LakeStorage account.• Data must be accessible by using queries from an Azure Synapse Analytics serverlessSQL pool.• Partition elimination must be supported without having to specify a specific partition.What should you recommend?

You are designing 2 solution that will use tables in Delta Lake on Azure Databricks.You need to minimize how long it takes to perform the following:*Queries against non-partitioned tables* Joins on non-partitioned columnsWhich two options should you include in the solution? Each correct answer presents part ofthe solution.(Choose Correct Answer and Give Explanation and References to Support the answersbased from Data Engineering on Microsoft Azure)

You have an Azure subscription that contains an Azure Blob Storage account namedstorage1 and an Azure Synapse Analytics dedicated SQL pool named Pool1.You need to store data in storage1. The data will be read by Pool1. The solution must meetthe following requirements:Enable Pool1 to skip columns and rows that are unnecessary in a query.Automatically create column statistics.Minimize the size of files.Which type of file should you use?

You have an Azure Databricks workspace that contains a Delta Lake dimension tablenamed Tablet. Table1 is a Type 2 slowly changing dimension (SCD) table. You need toapply updates from a source table to Table1. Which Apache Spark SQL operation shouldyou use?

You have an Azure Synapse Analytics dedicated SQL pool named Pool1. Pool1 contains atable named table1.You load 5 TB of data intotable1.You need to ensure that columnstore compression is maximized for table1.Which statement should you execute?

You have two Azure Blob Storage accounts named account1 and account2?You plan to create an Azure Data Factory pipeline that will use scheduled intervals toreplicate newly created or modified blobs from account1 to account?You need to recommend a solution to implement the pipeline. The solution must meet thefollowing requirements:• Ensure that the pipeline only copies blobs that were created of modified since the mostrecent replication event.• Minimize the effort to create the pipeline. What should you recommend?

You have an Azure Data Factory pipeline named pipeline1 that is invoked by a tumblingwindow trigger named Trigger1. Trigger1 has a recurrence of 60 minutes.You need to ensure that pipeline1 will execute only if the previous execution completessuccessfully.How should you configure the self-dependency for Trigger1?

You are building a data flow in Azure Data Factory that upserts data into a table in anAzure Synapse Analytics dedicated SQL pool.You need to add a transformation to the data flow. The transformation must specify logicindicating when a row from the input data must be upserted into the sink.Which type of transformation should you add to the data flow?

You have an Azure Data lake Storage account that contains a staging zone.You need to design a daily process to ingest incremental data from the staging zone,transform the data by executing an R script, and then insert the transformed data into adata warehouse in Azure Synapse Analytics.Solution: You use an Azure Data Factory schedule trigger to execute a pipeline thatexecutes an Azure Databricks notebook, and then inserts the data into the datawarehouse.Dow this meet the goal?

You are designing an Azure Data Lake Storage solution that will transform raw JSON filesfor use in an analytical workload.You need to recommend a format for the transformed files. The solution must meet thefollowing requirements:Contain information about the data types of each column in the files.Support querying a subset of columns in the files.Support read-heavy analytical workloads.Minimize the file size.What should you recommend?

You have an Azure subscription that contains an Azure Synapse Analytics workspacenamed ws1 and an Azure Cosmos D6 database account named Cosmos1 Costmos1contains a container named container 1 and ws1 contains a serverless1 SQL pool. you need to ensure that you can Query the data in container by using the serverless1 SQLpool.Which three actions should you perform? Each correct answer presents part of the solutionNOTE: Each correct selection is worth one point.

You are designing a folder structure for the files m an Azure Data Lake Storage Gen2account. The account has one container that contains three years of data.You need to recommend a folder structure that meets the following requirements:• Supports partition elimination for queries by Azure Synapse Analytics serverless SQLpooh • Supports fast data retrieval for data from the current month• Simplifies data security management by departmentWhich folder structure should you recommend?

You have an Azure Synapse Analytics dedicated SQL pod. You need to create a pipeline that will execute a stored procedure in the dedicated SQLpool and use the returned result set as the input (or a downstream activity. The solutionmust minimize development effort.Which Type of activity should you use in the pipeline?

You have an Azure Synapse Analytics dedicated SQL pool that contains a table namedTable1. Table1 contains the following:One billion rowsA clustered columnstore index A hash-distributed column named Product KeyA column named Sales Date that is of the date data type and cannot be nullThirty million rows will be added to Table1 each month.You need to partition Table1 based on the Sales Date column. The solution must optimizequery performance and data loading.How often should you create a partition?

You have an Azure Databricks workspace named workspace! in the Standard pricing tier.Workspace1 contains an all-purpose cluster named cluster). You need to reduce the time ittakes for cluster 1 to start and scale up. The solution must minimize costs. What shouldyou do first?

You have an Azure subscription that contains an Azure Data Lake Storage account named myaccount1. The myaccount1 account contains two containers named container1 and contained. The subscription is linked to an Azure Active Directory (Azure AD) tenant that contains a security group named Group1. You need to grant Group1 read access to contamer1. The solution must use the principle of least privilege. Which role should you assign to Group1? 

You are designing database for an Azure Synapse Analytics dedicated SQL pool to support workloads for detecting ecommerce transaction fraud. Data will be combined from multiple ecommerce sites and can include sensitive financial information such as credit card numbers. You need to recommend a solution that meets the following requirements: Users must be able to identify potentially fraudulent transactions. Users must be able to use credit cards as a potential feature in models. Users must NOT be able to access the actual credit card numbers. What should you include in the recommendation? 

You have an Azure Synapse Analytics dedicated SQL pool. You need to Create a fact table named Table1 that will store sales data from the last three years. The solution must be optimized for the following query operations: Show order counts by week. • Calculate sales totals by region. • Calculate sales totals by product. • Find all the orders from a given month. Which data should you use to partition Table1?

You plan to create a dimension table in Azure Synapse Analytics that will be less than 1 GB. You need to create the table to meet the following requirements: • Provide the fastest Query time. • Minimize data movement during queries. Which type of table should you use? 

You are designing an Azure Databricks interactive cluster. The cluster will be used infrequently and will be configured for auto-termination. You need to ensure that the cluster configuration is retained indefinitely after the cluster is terminated. The solution must minimize costs. What should you do? 

You have an Azure Databricks workspace and an Azure Data Lake Storage Gen2 account named storage! New files are uploaded daily to storage1. • Incrementally process new files as they are upkorage1 as a structured streaming source. The solution must meet the following requirements: • Minimize implementation and maintenance effort. • Minimize the cost of processing millions of files. • Support schema inference and schema drift. Which should you include in the recommendation?

You have an activity in an Azure Data Factory pipeline. The activity calls a stored procedure in a data warehouse in Azure Synapse Analytics and runs daily. You need to verify the duration of the activity when it ran last. What should you use?

You are designing a highly available Azure Data Lake Storage solution that will induce geozone-redundant storage (GZRS). You need to monitor for replication delays that can affect the recovery point objective (RPO). What should you include m the monitoring solution? 

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 an Azure Synapse Analytics dedicated SQL pool that contains a table named Table1. You have files that are ingested and loaded into an Azure Data Lake Storage Gen2 container named container1. You plan to insert data from the files in container1 into Table1 and transform the data. Each row of data in the files will produce one row in the serving layer of Table1. You need to ensure that when the source data files are loaded to container1, the DateTime is stored as an additional column in Table1. Solution: You use an Azure Synapse Analytics serverless SQL pool to create an external table that has an additional DateTime column. Does this meet the goal?