This page was exported from Actual Test Materials [ http://blog.actualtests4sure.com ] Export date:Fri Nov 15 20:48:02 2024 / +0000 GMT ___________________________________________________ Title: Latest Apr 12, 2023 Real DP-203 Exam Dumps Questions Valid DP-203 Dumps PDF [Q28-Q48] --------------------------------------------------- Latest Apr 12, 2023 Real DP-203 Exam Dumps Questions Valid DP-203 Dumps PDF Microsoft DP-203 Exam Dumps - PDF Questions and Testing Engine The Microsoft DP-203 (Data Engineering on Microsoft Azure) Certification Exam is designed for individuals who want to demonstrate their expertise in designing and implementing data solutions on Microsoft Azure. This certification exam is ideal for data engineers, data architects, and other IT professionals who are responsible for designing and implementing data solutions on Azure. The Microsoft DP-203 exam is suitable for those who have experience with Microsoft Azure and want to specialize in data engineering. The exam covers a wide range of topics such as data processing, data storage, data transformation, and data integration. It tests the candidate's ability to design, implement, and monitor data processing solutions on Azure.   Q28. Which Azure Data Factory components should you recommend using together to import the daily inventory data from the SQL server to Azure Data Lake Storage? To answer, select the appropriate options in the answer area.NOTE: Each correct selection is worth one point. Q29. You need to design a data storage structure for the product sales transactions. The solution must meet the sales transaction dataset requirements.What should you include in the solution? To answer, select the appropriate options in the answer area.NOTE: Each correct selection is worth one point. Reference:https://rajanieshkaushikk.com/2020/09/09/how-to-choose-right-data-distribution-strategy-for-azure-synapse/Q30. You need to output files from Azure Data Factory.Which file format should you use for each type of output? To answer, select the appropriate options in the answer area.NOTE: Each correct selection is worth one point. Reference:https://www.datanami.com/2018/05/16/big-data-file-formats-demystifiedQ31. 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 plan to create an Azure Databricks workspace that has a tiered structure. The workspace will contain the following three workloads:A workload for data engineers who will use Python and SQL.A workload for jobs that will run notebooks that use Python, Scala, and SOL.A workload that data scientists will use to perform ad hoc analysis in Scala and R.The enterprise architecture team at your company identifies the following standards for Databricks environments:The data engineers must share a cluster.The job cluster will be managed by using a request process whereby data scientists and data engineers provide packaged notebooks for deployment to the cluster.All the data scientists must be assigned their own cluster that terminates automatically after 120 minutes of inactivity. Currently, there are three data scientists.You need to create the Databricks clusters for the workloads.Solution: You create a Standard cluster for each data scientist, a High Concurrency cluster for the data engineers, and a High Concurrency cluster for the jobs.Does this meet the goal?  Yes  No We need a High Concurrency cluster for the data engineers and the jobs.Note:Standard clusters are recommended for a single user. Standard can run workloads developed in any language:Python, R, Scala, and SQL.A high concurrency cluster is a managed cloud resource. The key benefits of high concurrency clusters are that they provide Apache Spark-native fine-grained sharing for maximum resource utilization and minimum query latencies.Reference:https://docs.azuredatabricks.net/clusters/configure.htmlQ32. You configure monitoring for a Microsoft Azure SQL Data Warehouse implementation. The implementation uses PolyBase to load data from comma-separated value (CSV) files stored in Azure Data Lake Gen 2 using an external table.Files with an invalid schema cause errors to occur.You need to monitor for an invalid schema error.For which error should you monitor?  EXTERNAL TABLE access failed due to internal error: ‘Java exception raised on call to HdfsBridge_Connect: Error[com.microsoft.polybase.client.KerberosSecureLogin] occurred while accessing external files.’  EXTERNAL TABLE access failed due to internal error: ‘Java exception raised on call to HdfsBridge_Connect: Error [No FileSystem for scheme: wasbs] occurred while accessing external file.’  Cannot execute the query “Remote Query” against OLE DB provider “SQLNCLI11”: for linked server “(null)”, Query aborted- the maximum reject threshold (o rows) was reached while regarding from an external source: 1 rows rejected out of total 1 rows processed.  EXTERNAL TABLE access failed due to internal error: ‘Java exception raised on call to HdfsBridge_Connect: Error [Unable to instantiate LoginClass] occurred while accessing external files.’ Customer Scenario:SQL Server 2016 or SQL DW connected to Azure blob storage. The CREATE EXTERNAL TABLE DDL points to a directory (and not a specific file) and the directory contains files with different schemas.SSMS Error:Select query on the external table gives the following error:Msg 7320, Level 16, State 110, Line 14Cannot execute the query “Remote Query” against OLE DB provider “SQLNCLI11” for linked server “(null)”. Query aborted– the maximum reject threshold (0 rows) was reached while reading from an external source: 1 rows rejected out of total 1 rows processed.Possible Reason:The reason this error happens is because each file has different schema. The PolyBase external table DDL when pointed to a directory recursively reads all the files in that directory. When a column or data type mismatch happens, this error could be seen in SSMS.Possible Solution:If the data for each table consists of one file, then use the filename in the LOCATION section prepended by the directory of the external files. If there are multiple files per table, put each set of files into different directories in Azure Blob Storage and then you can point LOCATION to the directory instead of a particular file. The latter suggestion is the best practices recommended by SQLCAT even if you have one file per table.Incorrect Answers:A: Possible Reason: Kerberos is not enabled in Hadoop Cluster.Reference:https://techcommunity.microsoft.com/t5/DataCAT/PolyBase-Setup-Errors-and-Possible-Solutions/ba-p/305297Q33. You configure version control for an Azure Data Factory instance as shown in the following exhibit.Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.NOTE: Each correct selection is worth one point. ExplanationLetter Description automatically generatedBox 1: adf_publishThe Publish branch is the branch in your repository where publishing related ARM templates are stored and updated. By default, it’s adf_publish.Box 2: / dwh_batchetl/adf_publish/contososalesNote: RepositoryName (here dwh_batchetl): Your Azure Repos code repository name. Azure Repos projects contain Git repositories to manage your source code as your project grows. You can create a new repository or use an existing repository that’s already in your project.Reference:https://docs.microsoft.com/en-us/azure/data-factory/source-controlQ34. You are designing a dimension table for a data warehouse. The table will track the value of the dimension attributes over time and preserve the history of the data by adding new rows as the data changes.Which type of slowly changing dimension (SCD) should use?  Type 0  Type 1  Type 2  Type 3 Type 2 – Creating a new additional record. In this methodology all history of dimension changes is kept in the database. You capture attribute change by adding a new row with a new surrogate key to the dimension table. Both the prior and new rows contain as attributes the natural key(or other durable identifier). Also ‘effective date’ and ‘current indicator’ columns are used in this method. There could be only one record with current indicator set to ‘Y’. For ‘effective date’ columns, i.e. start_date and end_date, the end_date for current record usually is set to value 9999-12-31. Introducing changes to the dimensional model in type 2 could be very expensive database operation so it is not recommended to use it in dimensions where a new attribute could be added in the future.https://www.datawarehouse4u.info/SCD-Slowly-Changing-Dimensions.htmlQ35. You are designing a highly available Azure Data Lake Storage solution that will include geo-zone-redundant storage (GZRS).You need to monitor for replication delays that can affect the recovery point objective (RPO).What should you include in the monitoring solution?  availability  Average Success E2E Latency  5xx: Server Error errors  Last Sync Time ExplanationBecause geo-replication is asynchronous, it is possible that data written to the primary region has not yet been written to the secondary region at the time an outage occurs. The Last Sync Time property indicates the last time that data from the primary region was written successfully to the secondary region. All writes made to the primary region before the last sync time are available to be read from the secondary location. Writes made to the primary region after the last sync time property may or may not be available for reads yet.Reference:https://docs.microsoft.com/en-us/azure/storage/common/last-sync-time-getQ36. You need to ensure that the Twitter feed data can be analyzed in the dedicated SQL pool. The solution must meet the customer sentiment analytics requirements.Which three Transaction-SQL DDL commands should you run in sequence? To answer, move the appropriate commands from the list of commands to the answer area and arrange them in the correct order.NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select. ExplanationScenario: Allow Contoso users to use PolyBase in an Azure Synapse Analytics dedicated SQL pool to query the content of the data records that host the Twitter feeds. Data must be protected by using row-level security (RLS). The users must be authenticated by using their own Azure AD credentials.Box 1: CREATE EXTERNAL DATA SOURCEExternal data sources are used to connect to storage accounts.Box 2: CREATE EXTERNAL FILE FORMATCREATE EXTERNAL FILE FORMAT creates an external file format object that defines external data stored in Azure Blob Storage or Azure Data Lake Storage. Creating an external file format is a prerequisite for creating an external table.Box 3: CREATE EXTERNAL TABLE AS SELECTWhen used in conjunction with the CREATE TABLE AS SELECT statement, selecting from an external table imports data into a table within the SQL pool. In addition to the COPY statement, external tables are useful for loading data.Reference:https://docs.microsoft.com/en-us/azure/synapse-analytics/sql/develop-tables-external-tablesQ37. You need to output files from Azure Data Factory.Which file format should you use for each type of output? To answer, select the appropriate options in the answer are a.NOTE: Each correct selection is worth one point. Reference:https://www.datanami.com/2018/05/16/big-data-file-formats-demystifiedQ38. You need to output files from Azure Data Factory.Which file format should you use for each type of output? To answer, select the appropriate options in the answer area.NOTE: Each correct selection is worth one point. Reference:https://www.datanami.com/2018/05/16/big-data-file-formats-demystifiedQ39. You are building an Azure Synapse Analytics dedicated SQL pool that will contain a fact table for transactions from the first half of the year 2020.You need to ensure that the table meets the following requirements:* Minimizes the processing time to delete data that is older than 10 years* Minimizes the I/O for queries that use year-to-date valuesHow should you complete the Transact-SQL statement? To answer, select the appropriate options in the answer area.NOTE: Each correct selection is worth one point. ExplanationTable Description automatically generatedBox 1: PARTITIONRANGE RIGHT FOR VALUES is used with PARTITION.Part 2: [TransactionDateID]Partition on the date column.Example: Creating a RANGE RIGHT partition function on a datetime column The following partition function partitions a table or index into 12 partitions, one for each month of a year’s worth of values in a datetime column.CREATE PARTITION FUNCTION [myDateRangePF1] (datetime)AS RANGE RIGHT FOR VALUES (‘20030201’, ‘20030301’, ‘20030401’,‘20030501’, ‘20030601’, ‘20030701’, ‘20030801’,‘20030901’, ‘20031001’, ‘20031101’, ‘20031201’);Reference:https://docs.microsoft.com/en-us/sql/t-sql/statements/create-partition-function-transact-sqlQ40. You are designing an Azure Synapse Analytics dedicated SQL pool.You need to ensure that you can audit access to Personally Identifiable information (PII).What should you include in the solution?  dynamic data masking  row-level security (RLS)  sensitivity classifications  column-level security Data Discovery & Classification is built into Azure SQL Database, Azure SQL Managed Instance, and Azure Synapse Analytics. It provides basic capabilities for discovering, classifying, labeling, and reporting the sensitive data in your databases.Your most sensitive data might include business, financial, healthcare, or personal information. Discovering and classifying this data can play a pivotal role in your organization’s information-protection approach. It can serve as infrastructure for:Helping to meet standards for data privacy and requirements for regulatory compliance.Various security scenarios, such as monitoring (auditing) access to sensitive data.Controlling access to and hardening the security of databases that contain highly sensitive data.Reference:https://docs.microsoft.com/en-us/azure/azure-sql/database/data-discovery-and-classification-overviewQ41. You plan to monitor an Azure data factory by using the Monitor & Manage app.You need to identify the status and duration of activities that reference a table in a source database.Which three actions should you perform in sequence? To answer, move the actions from the list of actions to the answer are and arrange them in the correct order. ExplanationStep 1: From the Data Factory authoring UI, generate a user property for Source on all activities.Step 2: From the Data Factory monitoring app, add the Source user property to Activity Runs table.You can promote any pipeline activity property as a user property so that it becomes an entity that you can monitor. For example, you can promote the Source and Destination properties of the copy activity in your pipeline as user properties. You can also select Auto Generate to generate the Source and Destination user properties for a copy activity.Step 3: From the Data Factory authoring UI, publish the pipelinesPublish output data to data stores such as Azure SQL Data Warehouse for business intelligence (BI) applications to consume.References:https://docs.microsoft.com/en-us/azure/data-factory/monitor-visuallyQ42. You have an Azure subscription that contains the following resources:An Azure Active Directory (Azure AD) tenant that contains a security group named Group1 An Azure Synapse Analytics SQL pool named Pool1 You need to control the access of Group1 to specific columns and rows in a table in Pool1.Which Transact-SQL commands should you use? To answer, select the appropriate options in the answer area. Reference:https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/column-level-securityQ43. You plan to develop a dataset named Purchases by using Azure databricks Purchases will contain the following columns:* ProductID* ItemPrice* lineTotal* Quantity* StorelD* Minute* Month* Hour* Year* DayYou need to store the data to support hourly incremental load pipelines that will vary for each StoreID. the solution must minimize storage costs. How should you complete the rode? To answer, select the appropriate options In the answer are a.NOTE: Each correct selection is worth one point. Reference:https://intellipaat.com/community/11744/how-to-partition-and-write-dataframe-in-spark-without-deleting-partitions-with-no-new-dataQ44. You have an Azure Data Factory pipeline that has the activities shown in the following exhibit.Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.NOTE: Each correct selection is worth one point. ExplanationBox 1: succeedBox 2: failedExample:Now let’s say we have a pipeline with 3 activities, where Activity1 has a success path to Activity2 and a failure path to Activity3. If Activity1 fails and Activity3 succeeds, the pipeline will fail. The presence of the success path alongside the failure path changes the outcome reported by the pipeline, even though the activity executions from the pipeline are the same as the previous scenario.Activity1 fails, Activity2 is skipped, and Activity3 succeeds. The pipeline reports failure.Reference:https://datasavvy.me/2021/02/18/azure-data-factory-activity-failures-and-pipeline-outcomes/Q45. You are designing a partition strategy for a fact table in an Azure Synapse Analytics dedicated SQL pool. The table has the following specifications:* Contain sales data for 20,000 products.* Use hash distribution on a column named ProduclID,* Contain 2.4 billion records for the years 20l9 and 2020.Which number of partition ranges provides optimal compression and performance of the clustered columnstore index?  40  240  400  2,400 Q46. You have an Azure SQL database named Database1 and two Azure event hubs named HubA and HubB. The data consumed from each source is shown in the following table.You need to implement Azure Stream Analytics to calculate the average fare per mile by driver.How should you configure the Stream Analytics input for each source? To answer, select the appropriate options in the answer area.NOTE: Each correct selection is worth one point. Reference:https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-use-reference-dataQ47. You are developing a solution that will stream to Azure Stream Analytics. The solution will have both streaming data and reference data.Which input type should you use for the reference data?  Azure Cosmos DB  Azure Blob storage  Azure IoT Hub  Azure Event Hubs ExplanationStream Analytics supports Azure Blob storage and Azure SQL Database as the storage layer for Reference Data.Reference:https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-use-reference-dataQ48. You have the following Azure Stream Analytics query.For each of the following statements, select Yes if the statement is true. Otherwise, select No.NOTE: Each correct selection is worth one point. Reference:https://azure.microsoft.com/en-in/blog/maximize-throughput-with-repartitioning-in-azure-stream-analytics/ Loading … Reliable Microsoft Certified: Azure Data Engineer Associate DP-203 Dumps PDF Apr 12, 2023 Recently Updated Questions: https://www.actualtests4sure.com/DP-203-test-questions.html --------------------------------------------------- Images: https://blog.actualtests4sure.com/wp-content/plugins/watu/loading.gif https://blog.actualtests4sure.com/wp-content/plugins/watu/loading.gif --------------------------------------------------- --------------------------------------------------- Post date: 2023-04-12 13:26:25 Post date GMT: 2023-04-12 13:26:25 Post modified date: 2023-04-12 13:26:25 Post modified date GMT: 2023-04-12 13:26:25