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Free DP-203 Exam Braindumps (page: 8)

Page 7 of 94
PDF with 382 Questions

You plan to implement an Azure Data Lake Gen 2 storage account.

You need to ensure that the data lake will remain available if a data center fails in the primary Azure region. The solution must minimize costs. Which type of replication should you use for the storage account?

  1. geo-redundant storage (GRS)
  2. geo-zone-redundant storage (GZRS)
  3. locally-redundant storage (LRS)
  4. zone-redundant storage (ZRS)

Answer(s): D

Explanation:

Zone-redundant storage (ZRS) copies your data synchronously across three Azure availability zones in the primary region.

Incorrect Answers:
C: Locally redundant storage (LRS) copies your data synchronously three times within a single physical location in the primary region. LRS is the least expensive replication option, but is not recommended for applications requiring high availability or durability


Reference:

https://docs.microsoft.com/en-us/azure/storage/common/storage-redundancy



HOTSPOT (Drag and Drop is not supported)
You have a SQL pool in Azure Synapse.

You plan to load data from Azure Blob storage to a staging table. Approximately 1 million rows of data will be loaded daily. The table will be truncated before each daily load.

You need to create the staging table. The solution must minimize how long it takes to load the data to the staging table. How should you configure the table? 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: Hash
Hash-distributed tables improve query performance on large fact tables. They can have very large numbers of rows and still achieve high performance.

Incorrect Answers:
Round-robin tables are useful for improving loading speed.

Box 2: Clustered columnstore
When creating partitions on clustered columnstore tables, it is important to consider how many rows belong to each partition. For optimal compression and performance of clustered columnstore tables, a minimum of 1 million rows per distribution and partition is needed.

Box 3: Date
Table partitions enable you to divide your data into smaller groups of data. In most cases, table partitions are created on a date column. Partition switching can be used to quickly remove or replace a section of a table.


Reference:

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



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.

SELECT
SupplierKey, StockItemKey, IsOrderFinalized, COUNT(*)
FROM FactPurchase
WHERE DateKey >= 20210101
AND DateKey <= 20210131
GROUP By SupplierKey, StockItemKey, IsOrderFinalized

Which table distribution will minimize query times?

  1. replicated
  2. hash-distributed on PurchaseKey
  3. round-robin
  4. hash-distributed on IsOrderFinalized

Answer(s): B

Explanation:

Hash-distributed tables improve query performance on large fact tables. To balance the parallel processing, select a distribution column that:
-Has many unique values. The column can have duplicate values. All rows with the same value are assigned to the same distribution. Since there are 60 distributions, some distributions can have > 1 unique values while others may end with zero values.
-Does not have NULLs, or has only a few NULLs.
-Is not a date column.

Incorrect Answers:
C: 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-distribute



HOTSPOT (Drag and Drop is not supported)
From a website analytics system, you receive data extracts about user interactions such as downloads, link clicks, form submissions, and video plays. The data contains the following columns.


You need to design a star schema to support analytical queries of the data. The star schema will contain four tables including a date dimension. To which table should you add each column? 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: DimEvent

Box 2: DimChannel

Box 3: FactEvents
Fact tables store observations or events, and can be sales orders, stock balances, exchange rates, temperatures, etc


Reference:

https://docs.microsoft.com/en-us/power-bi/guidance/star-schema






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