This page was exported from Valid Premium Exam [ http://premium.validexam.com ] Export date:Mon Feb 24 12:23:49 2025 / +0000 GMT ___________________________________________________ Title: [Q116-Q140] DP-203 Practice Test Give You First Time Success with 100% Money Back Guarantee! --------------------------------------------------- DP-203 Practice Test Give You First Time Success with 100% Money Back Guarantee! All Obstacles During DP-203 Exam Preparation with DP-203 Real Test Questions What should I know before taking the Microsoft DP-203 exam? Microsoft offers Data Engineering on Microsoft Azure certification to those who wish to demonstrate their knowledge of data engineering on the Microsoft Cloud. The exam comprises multiple-choice questions, and each question is worth one mark. The candidates are required to attempt 60 questions in total, i.e., within 130 minutes. In order to take this exam, the candidates are required to have knowledge of the fundamental concepts related to the subject matter. Knowledge of basic cloud computing concepts (such as virtual machines, virtual networks, etc.) would be beneficial for the candidates. Microsoft DP-203 exam dumps contains an online study guide that explains all the concepts and answers to practice questions. Candidates should try to understand the concepts completely to gain good marks on the test. Learn about the benefits of Microsoft DP-203 Certification Microsoft DP-203 certification is a professional certification given to the candidates who successfully complete the DP-203 exam. Microsoft Data Platform with Hadoop Developer 203: Administration certification is an international standard for demonstrating competence in data platform administration. The exam validates the candidate's ability to administer and develop data platforms on the cloud-based environment of Microsoft Azure. The DP-203 certification is a globally recognized credential that can enable you to stand out from your peers and make your career more rewarding. The DP-203 course will help you to become a specialist who is able to manage, maintain and develop applications running on Hadoop frameworks on the Azure cloud platform. Microsoft DP-203 Dumps is designed to achieve your goal. The DP-203 training course covers the fundamental concepts of cloud computing, creating and managing virtual machines, storage accounts, load balancers, web and worker roles, databases, HDInsight, etc. It also covers how to implement security infrastructure and management of virtual networks using PowerShell commands. You will receive lifetime access to the content along with practice exam questions from real exams after each module. The DP-203 course provides an opportunity for career advancement as it enables you to enhance your expertise in developing solutions with the Hadoop framework and other data sources using the Microsoft Azure cloud platform. It will also help you boost your proficiency in implementing. Correct mapping and auditing exception testing for data.   NO.116 You have an Azure Data Lake Storage Gen2 account that contains two folders named Folder and Folder2.You use Azure Data Factory to copy multiple files from Folder1 to Folder2.You receive the following error.What should you do to resolve the error.  Add an explicit mapping.  Enable fault tolerance to skip incompatible rows.  Lower the degree of copy parallelism  Change the Copy activity setting to Binary Copy NO.117 You have an Azure Data Lake Storage Gen2 account that contains a container named container1. You have an Azure Synapse Analytics serverless SQL pool that contains a native external table named dbo.Table1. The source data for dbo.Table1 is stored in container1. The folder structure of container1 is shown in the following exhibit.The external data source is defined by using the following statement.For each of the following statements, select Yes if the statement is true. Otherwise, select No.NOTE: Each correct selection is worth one point. NO.118 You have a self-hosted integration runtime in Azure Data Factory.The current status of the integration runtime has the following configurations:Status: RunningType: Self-HostedRunning / Registered Node(s): 1/1High Availability Enabled: FalseLinked Count: 0Queue Length: 0Average Queue Duration. 0.00sThe integration runtime has the following node details:Name: X-MStatus: RunningAvailable Memory: 7697MBCPU Utilization: 6%Network (In/Out): 1.21KBps/0.83KBpsConcurrent Jobs (Running/Limit): 2/14Role: Dispatcher/WorkerCredential Status: In SyncUse the drop-down menus to select the answer choice that completes each statement based on the information presented.NOTE: Each correct selection is worth one point. Reference:https://docs.microsoft.com/en-us/azure/data-factory/create-self-hosted-integration-runtimeNO.119 You are designing an Azure Stream Analytics solution that receives instant messaging data from an Azure Event Hub.You need to ensure that the output from the Stream Analytics job counts the number of messages per time zone every 15 seconds.How should you complete the Stream Analytics query? To answer, select the appropriate options in the answer area.NOTE: Each correct selection is worth one point. ExplanationTable Description automatically generatedBox 1: timestamp byBox 2: TUMBLINGWINDOWTumbling window functions are used to segment a data stream into distinct time segments and perform a function against them, such as the example below. The key differentiators of a Tumbling window are that they repeat, do not overlap, and an event cannot belong to more than one tumbling window.Timeline Description automatically generatedReference:https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-window-functionsNO.120 You are monitoring an Azure Stream Analytics job.You discover that the Backlogged Input Events metric is increasing slowly and is consistently non-zero.You need to ensure that the job can handle all the events.What should you do?  Change the compatibility level of the Stream Analytics job.  Increase the number of streaming units (SUs).  Remove any named consumer groups from the connection and use $default.  Create an additional output stream for the existing input stream. Backlogged Input Events: Number of input events that are backlogged. A non-zero value for this metric implies that your job isn’t able to keep up with the number of incoming events. If this value is slowly increasing or consistently non-zero, you should scale out your job. You should increase the Streaming Units.Note: Streaming Units (SUs) represents the computing resources that are allocated to execute a Stream Analytics job. The higher the number of SUs, the more CPU and memory resources are allocated for your job.Reference:https://docs.microsoft.com/bs-cyrl-ba/azure/stream-analytics/stream-analytics-monitoringNO.121 You develop a dataset named DBTBL1 by using Azure Databricks.DBTBL1 contains the following columns:SensorTypeIDGeographyRegionIDYearMonthDayHourMinuteTemperatureWindSpeedOtherYou need to store the data to support daily incremental load pipelines that vary for each GeographyRegionID. The solution must minimize storage costs.How should you complete the code? To answer, select the appropriate options in the answer area.NOTE: Each correct selection is worth one point. NO.122 You have an Azure Stream Analytics job.You need to ensure that the job has enough streaming units provisioned.You configure monitoring of the SU % Utilization metric.Which two additional metrics should you monitor? Each correct answer presents part of the solution.NOTE: Each correct selection is worth one point.  Backlogged Input Events  Watermark Delay  Function Events  Out of order Events  Late Input Events To react to increased workloads and increase streaming units, consider setting an alert of 80% on the SU Utilization metric. Also, you can use watermark delay and backlogged events metrics to see if there is an impact.Note: Backlogged Input Events: Number of input events that are backlogged. A non-zero value for this metric implies that your job isn’t able to keep up with the number of incoming events. If this value is slowly increasing or consistently non-zero, you should scale out your job, by increasing the SUs.Reference:https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-monitoringNO.123 You have an on-premises data warehouse that includes the following fact tables. Both tables have the following columns: DateKey, ProductKey, RegionKey. There are 120 unique product keys and 65 unique region keys.Queries that use the data warehouse take a long time to complete.You plan to migrate the solution to use Azure Synapse Analytics. You need to ensure that the Azure-based solution optimizes query performance and minimizes processing skew.What should you recommend? 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/sql-data-warehouse/sql-data-warehouse-tables-distributeNO.124 You store files in an Azure Data Lake Storage Gen2 container. The container has the storage policy 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. Reference:https://docs.microsoft.com/en-us/dotnet/api/microsoft.azure.management.storage.fluent.models.managementpolicybaseblob.tiertocoolNO.125 You have an Azure Synapse Analytics SQL pool named Pool1 on a logical Microsoft SQL server named Server1.You need to implement Transparent Data Encryption (TDE) on Pool1 by using a custom key named key1.Which five actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. 1 – Assign a managed identity to Server1.2 – Create an Azure key vault and grant the managed identity permissions to the key vault.3 – Add key1 to the Azure key vault.4 – Configure key1 as the TDE protector for Server1.5 – Enable TDE on Pool1.Reference:https://docs.microsoft.com/en-us/azure/azure-sql/managed-instance/scripts/transparent-data-encryption-byok-powershellNO.126 You plan to implement an Azure Data Lake Storage Gen2 container that will contain CSV files. The size of the files will vary based on the number of events that occur per hour.File sizes range from 4.KB to 5 GB.You need to ensure that the files stored in the container are optimized for batch processing.What should you do?  Compress the files.  Merge the files.  Convert the files to JSON  Convert the files to Avro. ExplanationAvro supports batch and is very relevant for streaming.Note: Avro is framework developed within Apache’s Hadoop project. It is a row-based storage format which is widely used as a serialization process. AVRO stores its schema in JSON format making it easy to read and interpret by any program. The data itself is stored in binary format by doing it compact and efficient.Reference:https://www.adaltas.com/en/2020/07/23/benchmark-study-of-different-file-format/NO.127 You need to design a data retention solution for the Twitter teed data records. The solution must meet the customer sentiment analytics requirements.Which Azure Storage functionality should you include in the solution?  time-based retention  change feed  soft delete  Iifecycle management NO.128 You are designing a real-time dashboard solution that will visualize streaming data from remote sensors that connect to the internet. The streaming data must be aggregated to show the average value of each 10-second interval. The data will be discarded after being displayed in the dashboard.The solution will use Azure Stream Analytics and must meet the following requirements:* Minimize latency from an Azure Event hub to the dashboard.* Minimize the required storage.* Minimize development effort.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 ExplanationReference:https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-power-bi-dashboardNO.129 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 a data warehouse in Azure Synapse Analytics.Solution: You use an Azure Data Factory schedule trigger to execute a pipeline that executes mapping data Flow, and then inserts the data info the data warehouse.Does this meet the goal?  Yes  No If you need to transform data in a way that is not supported by Data Factory, you can create a custom activity, not a mapping flow,5 with your own data processing logic and use the activity in the pipeline. You can create a custom activity to run R scripts on your HDInsight cluster with R installed.Reference:https://docs.microsoft.com/en-US/azure/data-factory/transform-dataNO.130 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 he correct targets. Each value may be used once, more than once or not at all. You may need to drag the split bar between panes or scroll to view content.NOTE: Each correct selection is worth one point. NO.131 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 (orows) 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.’ ExplanationCustomer 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.NO.132 You are designing a fact table named FactPurchase in an Azure Synapse Analytics dedicated SQL pool. The table contains purchases from suppliers for a retail store. FactPurchase will contain the following columns.FactPurchase will have 1 million rows of data added daily and will contain three years of data.Transact-SQL queries similar to the following query will be executed daily.SELECTSupplierKey, StockItemKey, COUNT(*)FROM FactPurchaseWHERE DateKey >= 20210101AND DateKey <= 20210131GROUP By SupplierKey, StockItemKeyWhich table distribution will minimize query times?  round-robin  replicated  hash-distributed on DateKey  hash-distributed on PurchaseKey ExplanationHash-distributed tables improve query performance on large fact tables, and are the focus of this article.Round-robin tables are useful for improving loading speed.Reference:https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-tables-distribuNO.133 You have an Azure subscription.You need to deploy an Azure Data Lake Storage Gen2 Premium account. The solution must meet the following requirements:* Blobs that are older than 365 days must be deleted.* Administrator efforts must be minimized.* Costs must be minimizedWhat should you use? To answer, select the appropriate options in the answer are a. NOTE Each correct selection is worth one point. NO.134 The following code segment is used to create an Azure Databricks cluster.For each of the following statements, select Yes if the statement is true. Otherwise, select No.NOTE: Each correct selection is worth one point. ExplanationGraphical user interface, text, application Description automatically generatedBox 1: YesA cluster mode of ‘High Concurrency’ is selected, unlike all the others which are ‘Standard’. This results in a worker type of Standard_DS13_v2.Box 2: NoWhen you run a job on a new cluster, the job is treated as a data engineering (job) workload subject to the job workload pricing. When you run a job on an existing cluster, the job is treated as a data analytics (all-purpose) workload subject to all-purpose workload pricing.Box 3: YesDelta Lake on Databricks allows you to configure Delta Lake based on your workload patterns.Reference:https://adatis.co.uk/databricks-cluster-sizing/https://docs.microsoft.com/en-us/azure/databricks/jobshttps://docs.databricks.com/administration-guide/capacity-planning/cmbp.htmlhttps://docs.databricks.com/delta/index.htmlNO.135 You develop a dataset named DBTBL1 by using Azure Databricks.DBTBL1 contains the following columns:SensorTypeIDGeographyRegionIDYearMonthDayHourMinuteTemperatureWindSpeedOtherYou need to store the data to support daily incremental load pipelines that vary for each GeographyRegionID. The solution must minimize storage costs.How should you complete the code? To answer, select the appropriate options in the answer area.NOTE: Each correct selection is worth one point. NO.136 You have an Azure Synapse Analytics workspace named WS1.You have an Azure Data Lake Storage Gen2 container that contains JSON-formatted files in the following format.You need to use the serverless SQL pool in WS1 to read the files.How should you complete the Transact-SQL statement? 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 split bar between panes or scroll to view content.NOTE: Each correct selection is worth one point. ExplanationGraphical user interface, text, application, email Description automatically generatedBox 1: openrowsetThe easiest way to see to the content of your CSV file is to provide file URL to OPENROWSET function, specify csv FORMAT.Example:SELECT *FROM OPENROWSET(BULK ‘csv/population/population.csv’,DATA_SOURCE = ‘SqlOnDemandDemo’,FORMAT = ‘CSV’, PARSER_VERSION = ‘2.0’,FIELDTERMINATOR =’,’,ROWTERMINATOR = ‘n’Box 2: openjsonYou can access your JSON files from the Azure File Storage share by using the mapped drive, as shown in the following example:SELECT book.* FROMOPENROWSET(BULK N’t:booksbooks.json’, SINGLE_CLOB) AS jsonCROSS APPLY OPENJSON(BulkColumn)WITH( id nvarchar(100), name nvarchar(100), price float,pages_i int, author nvarchar(100)) AS bookReference:https://docs.microsoft.com/en-us/azure/synapse-analytics/sql/query-single-csv-filehttps://docs.microsoft.com/en-us/sql/relational-databases/json/import-json-documents-into-sql-serverNO.137 You plan to implement an Azure Data Lake Storage Gen2 container that will contain CSV files. The size of the files will vary based on the number of events that occur per hour.File sizes range from 4.KB to 5 GB.You need to ensure that the files stored in the container are optimized for batch processing.What should you do?  Compress the files.  Merge the files.  Convert the files to JSON  Convert the files to Avro. Avro supports batch and is very relevant for streaming.Note: Avro is framework developed within Apache’s Hadoop project. It is a row-based storage format which is widely used as a serialization process. AVRO stores its schema in JSON format making it easy to read and interpret by any program. The data itself is stored in binary format by doing it compact and efficient.Reference:https://www.adaltas.com/en/2020/07/23/benchmark-study-of-different-file-format/NO.138 You have an Azure Data Lake Storage Gen2 account that contains a JSON file for customers. The file contains two attributes named FirstName and LastName.You need to copy the data from the JSON file to an Azure Synapse Analytics table by using Azure Databricks. A new column must be created that concatenates the FirstName and LastName values.You create the following components:A destination table in Azure SynapseAn Azure Blob storage containerA service principalIn which order should you perform the actions? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. Reference:https://docs.microsoft.com/en-us/azure/azure-databricks/databricks-extract-load-sql-data-warehouseNO.139 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 scenario, 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 Storage account that contains 100 GB of files. The files contain text and numerical values. 75% of the rows contain description data that has an average length of 1.1 MB.You plan to copy the data from the storage account to an enterprise data warehouse in Azure Synapse Analytics.You need to prepare the files to ensure that the data copies quickly.Solution: You convert the files to compressed delimited text files.Does this meet the goal?  Yes  No ExplanationAll file formats have different performance characteristics. For the fastest load, use compressed delimited text files.Reference:https://docs.microsoft.com/en-us/azure/sql-data-warehouse/guidance-for-loading-dataNO.140 You need to implement an Azure Synapse Analytics database object for storing the sales transactions data. The solution must meet the sales transaction dataset requirements.What solution must meet the sales transaction dataset requirements.What should you do? To answer, select the appropriate options in the answer area.NOTE: Each correct selection is worth one point.  Loading … Fully Updated Free Actual Microsoft DP-203 Exam Questions: https://www.validexam.com/DP-203-latest-dumps.html --------------------------------------------------- Images: https://premium.validexam.com/wp-content/plugins/watu/loading.gif https://premium.validexam.com/wp-content/plugins/watu/loading.gif --------------------------------------------------- --------------------------------------------------- Post date: 2023-04-18 15:14:58 Post date GMT: 2023-04-18 15:14:58 Post modified date: 2023-04-18 15:14:58 Post modified date GMT: 2023-04-18 15:14:58