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Free DP-203 Exam Braindumps (page: 3)

Page 2 of 94
PDF with 382 Questions
View Related Case Study

HOTSPOT (Drag and Drop is not supported)
You need to design an analytical storage solution for the transactional data. 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.
Hot Area:

  1. See Explanation section for answer.

Answer(s): A

Explanation:



Box 1: Round-robin
Round-robin tables are useful for improving loading speed.
Scenario: Partition data that contains sales transaction records. Partitions must be designed to provide efficient loads by month. Box 2: Hash
Hash-distributed tables improve query performance on large fact tables.

Scenario:
You plan to create a promotional table that will contain a promotion ID. The promotion ID will be associated to a specific product. The product will be identified by a product ID. The table will be approximately 5 GB.
Ensure that queries joining and filtering sales transaction records based on product ID complete as quickly as possible.


Reference:

https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-tables-distribute



View Related Case Study

HOTSPOT (Drag and Drop is not supported)
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 should you do? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:

  1. See Explanation section for answer.

Answer(s): A

Explanation:



Box 1: Create table
Scenario: Load the sales transaction dataset to Azure Synapse Analytics

Box 2: RANGE RIGHT FOR VALUES
Scenario: Partition data that contains sales transaction records.
Partitions must be designed to provide efficient loads by month.
Boundary values must belong to the partition on the right.
RANGE RIGHT: Specifies the boundary value belongs to the partition on the right (higher values). FOR VALUES ( boundary_value [,...n] ): Specifies the boundary values for the partition.
Scenario: Load the sales transaction dataset to Azure Synapse Analytics.

Contoso identifies the following requirements for the sales transaction dataset:
-Partition data that contains sales transaction records.
-Partitions must be designed to provide efficient loads by month.
-Boundary values must belong to the partition on the right.
-Ensure that queries joining and filtering sales transaction records based on product ID complete as quickly as possible.
-Implement a surrogate key to account for changes to the retail store addresses. Ensure that data storage costs and performance are predictable.
-Minimize how long it takes to remove old records.


Reference:

https://docs.microsoft.com/en-us/sql/t-sql/statements/create-table-azure-sql-data-warehouse



View Related Case Study

You need to design a data retention solution for the Twitter feed data records. The solution must meet the customer sentiment analytics requirements.
Which Azure Storage functionality should you include in the solution?

  1. change feed
  2. soft delete
  3. time-based retention
  4. lifecycle management

Answer(s): D

Explanation:

Scenario: Purge Twitter feed data records that are older than two years.
Data sets have unique lifecycles. Early in the lifecycle, people access some data often. But the need for access often drops drastically as the data ages. Some data remains idle in the cloud and is rarely accessed once stored. Some data sets expire days or months after creation, while other data sets are actively read and modified throughout their lifetimes. Azure Storage lifecycle management offers a rule-based policy that you can use to transition blob data to the appropriate access tiers or to expire data at the end of the data lifecycle.


Reference:

https://docs.microsoft.com/en-us/azure/storage/blobs/lifecycle-management-overview



You have a table in an Azure Synapse Analytics dedicated SQL pool. The table was created by using the following Transact-SQL statement.

You need to alter the table to meet the following requirements:

-Ensure that users can identify the current manager of employees.
-Support creating an employee reporting hierarchy for your entire company.
-Provide fast lookup of the managers’ attributes such as name and job title.

Which column should you add to the table?

  1. [ManagerEmployeeID] [int] NULL
  2. [ManagerEmployeeID] [smallint] NULL
  3. [ManagerEmployeeKey] [int] NULL
  4. [ManagerName] [varchar](200) NULL

Answer(s): C

Explanation:

We need an extra column to identify the Manager. Use the data type as the EmployeeKey column, an int column.


Reference:

https://docs.microsoft.com/en-us/analysis-services/tabular-models/hierarchies-ssas-tabular






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