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The DP-203 Certification Exam is a great way for professionals to showcase their expertise in the field of data engineering. It demonstrates that they have the necessary skills and knowledge to design and implement data solutions on Microsoft Azure. Data Engineering on Microsoft Azure certification is highly valued by employers and is considered a benchmark for measuring the competency of data engineers on Microsoft Azure.
Microsoft DP-203 Reliable Study Questions | DP-203 Reliable Test ExperienceThe 21 century is the information century. So there are many changes in the field of the DP-203 exam questions. They are also transforming people's lives and the mode of operation of human society in a profound way. when you are preparing for an DP-203 exam, our company can provide the best electronic DP-203 Exam Torrent for you in this website. I strongly believe that under the guidance of our DP-203 test torrent, you will be able to keep out of troubles way and take everything in your stride. Microsoft Data Engineering on Microsoft Azure Sample Questions (Q186-Q191):NEW QUESTION # 186
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 into Table1 and azure Data Lake Storage Gen2 container named container1.
You plan to insert data from the files into Table1 and transform the dat a. 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: In an Azure Synapse Analytics pipeline, you use a Get Metadata activity that retrieves the DateTime of the files.
Does this meet the goal?
NEW QUESTION # 187
You are designing an application that will use an Azure Data Lake Storage Gen 2 account to store petabytes of license plate photos from toll booths. The account will use zone-redundant storage (ZRS).
You identify the following usage patterns:
* The data will be accessed several times a day during the first 30 days after the data is created. The data must meet an availability SU of 99.9%.
* After 90 days, the data will be accessed infrequently but must be available within 30 seconds.
* After 365 days, the data will be accessed infrequently but must be available within five minutes. Answer:
Explanation:
Reference: https://docs.microsoft.com/en-us ... -rehydrate-overview
NEW QUESTION # 188
You are responsible for providing access to an Azure Data Lake Storage Gen2 account.
Your user account has contributor access to the storage account, and you have the application ID and access key.
You plan to use PolyBase to load data into an enterprise data warehouse in Azure Synapse Analytics.
You need to configure PolyBase to connect the data warehouse to storage account.
Which three components should you create in sequence? To answer, move the appropriate components from the list of components to the answer area and arrange them in the correct order. Answer:
Explanation:
Explanation
NEW QUESTION # 189
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 values
How 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. Answer:
Explanation:
Explanation:
Table Description automatically generated
Box 1: PARTITION
RANGE 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 ... nction-transact-sql
NEW QUESTION # 190
You are building an Azure Data Factory solution to process data received from Azure Event Hubs, and then ingested into an Azure Data Lake Storage Gen2 container.
The data will be ingested every five minutes from devices into JSON files. The files have the following naming pattern.
/{deviceType}/in/{YYYY}/{MM}/{DD}/{HH}/{deviceID}_{YYYY}{MM}{DD}HH}{mm}.json You need to prepare the data for batch data processing so that there is one dataset per hour per deviceType. The solution must minimize read times.
How should you configure the sink for the copy activity? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point. Answer:
Explanation:
Reference: https://docs.microsoft.com/en-us ... -execution-triggers https://docs.microsoft.com/en-us ... nnector-file-system
NEW QUESTION # 191
......
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