At ValidExamDumps, we consistently monitor updates to the Microsoft DP-203 exam questions by Microsoft. Whenever our team identifies changes in the exam questions,exam objectives, exam focus areas or in exam requirements, We immediately update our exam questions for both PDF and online practice exams. This commitment ensures our customers always have access to the most current and accurate questions. By preparing with these actual questions, our customers can successfully pass the Microsoft Data Engineering on Microsoft Azure exam on their first attempt without needing additional materials or study guides.
Other certification materials providers often include outdated or removed questions by Microsoft in their Microsoft DP-203 exam. These outdated questions lead to customers failing their Microsoft Data Engineering on Microsoft Azure exam. In contrast, we ensure our questions bank includes only precise and up-to-date questions, guaranteeing their presence in your actual exam. Our main priority is your success in the Microsoft DP-203 exam, not profiting from selling obsolete exam questions in PDF or Online Practice Test.
You have an Azure subscription that contains an Azure Data Factory data pipeline named Pipeline1, a Log Analytics workspace named LA1, and a storage account named account1.
You need to retain pipeline-run data for 90 days. The solution must meet the following requirements:
* The pipeline-run data must be removed automatically after 90 days.
* Ongoing costs must be minimized.
Which two actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
You have an Azure data factory.
You need to examine the pipeline failures from the last 180 flays.
What should you use?
Data Factory stores pipeline-run data for only 45 days. Use Azure Monitor if you want to keep that data for a longer time.
https://docs.microsoft.com/en-us/azure/data-factory/monitor-using-azure-monitor
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?
Because 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.
https://docs.microsoft.com/en-us/azure/storage/common/last-sync-time-get
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 Azure SQL data warehouse.
You need to prepare the files to ensure that the data copies quickly.
Solution: You modify the files to ensure that each row is less than 1 MB.
Does this meet the goal?
When exporting data into an ORC File Format, you might get Java out-of-memory errors when there are large text columns. To work around this limitation, export only a subset of the columns.
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/guidance-for-loading-data
You need to implement a Type 3 slowly changing dimension (SCD) for product category data in an Azure Synapse Analytics dedicated SQL pool.
You have a table that was created by using the following Transact-SQL statement.
Which two columns should you add to the table? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A Type 3 SCD supports storing two versions of a dimension member as separate columns. The table includes a column for the current value of a member plus either the original or previous value of the member. So Type 3 uses additional columns to track one key instance of history, rather than storing additional rows to track each change like in a Type 2 SCD.
This type of tracking may be used for one or two columns in a dimension table. It is not common to use it for many members of the same table. It is often used in combination with Type 1 or Type 2 members.
https://k21academy.com/microsoft-azure/azure-data-engineer-dp203-q-a-day-2-live-session-review/
