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NEW QUESTION: 1
DRAG DROP


Answer:
Explanation:

Explanation:

Box 1: ProcessData
Processes data only without building aggregations or indexes. If there is data is in the partitions, it will be dropped before re-populating the partition with source data.
Box 2: Process Update
Forces a re-read of data and an update of dimension attributes. Flexible aggregations and indexes on related partitions will be dropped.
References:https://docs.microsoft.com/en-us/sql/analysis-services/multidimensional- models/processing-options-and-settings-analysis-services
Topic 2, Case Study #2
Background
Wide World Importers has multidimensional cubes named SalesAnalysis and
ProductSales. The SalesAnalysis cube is refreshed from a relational data warehouse. You have a Microsoft SQL Server Analysis Services instance that is configured to use tabular mode. You have a tabular data model named CustomerAnalysis.
Sales Analysis
The SalesAnalysis cube contains a fact table named CoffeeSale loaded from a table named FactSale in the data warehouse. The time granularity within the cube is 15 minutes.
The cube is processed every night at 23:00. You determine that the fact table cannot be fully processed in the expected time. Users have reported slow query response times.
The SalesAnalysis model contains tables from a SQL Server database named SalesDB.
You set the DirectQueryMode option to DirectQuery. Data analyst access data from a cache that is up to 24 hours old. Data analyst report performance issues when they access the SalesAnalysis model.
When analyzing sales by customer, the total of all sales is shown for every customer, instead of the customer's sales value. When analyzing sales by product, the correct totals for each product are shown.
Customer Analysis
You are redesigning the CustomerAnalysis tabular data model that will be used to analyze customer sales. You plan to add a table named CustomerPermission to the model. This table maps the Active Directory login of an employee with the CustomerId keys for all customers that the employee manages.
The CustomerAnalysis data model will contain a large amount of data and needs to be shared with other developers even if a deployment fails. Each time you deploy a change during development, processing takes a long time.
Data analysts must be able to analyze sales for financial years, financial quarters, months, and days. Many reports are based on analyzing sales by month.
Product Sales
The ProductSales cube allows data analysts to view sales information by product, city, and time. Data analysts must be able to view ProductSales data by Year to Date (YTD) as a measure. The measure must be formatted as currency, associated with the Sales measure group, and contained in a folder named Calculations.
Requirements
You identify the following requirements:
*Data available during normal business hours must always be up-to-date.
*Processing overhead must be minimized.
*Query response times must improve.
*All queries that access the SalesAnalysis model must use cached data by default.
*Data analysts must be able to access data in near real time.

NEW QUESTION: 2
Ein Techniker versucht, eine Internetverbindung von einem Mobiltelefon zu einem Windows 8-Laptop freizugeben.
Welche der folgenden drahtlosen Verbindungen sollte der Techniker verwenden, um die Verbindung freizugeben?
A. Bluetooth
B. IR
C. USB
D. NFC
Answer: A

NEW QUESTION: 3
Which three Options are selectable in a CI policy for image scanning with Jenkins or twistcli? (Choose three.)
A. Scope - Scans run on a particular host
B. Apply rule only when vendor fixes are available
C. Credential
D. Failure threshold
E. Grace Period
Answer: A,B,C

NEW QUESTION: 4
You have an Azure subscription named Subscription1 that contains the storage accounts shown in the following table:

You plan to use the Azure Import/Export service to export data from Subscription1.
You need to identify which storage account can be used to export the data.
What should you identify?
A. storage1
B. storage2
C. storage4
D. storage3
Answer: C
Explanation:
Explanation
Azure Import/Export service supports the following of storage accounts:
* Standard General Purpose v2 storage accounts (recommended for most scenarios)
* Blob Storage accounts
* General Purpose v1 storage accounts (both Classic or Azure Resource Manager deployments), Azure Import/Export service supports the following storage types:
* Import supports Azure Blob storage and Azure File storage
* Export supports Azure Blob storage
Reference:
https://docs.microsoft.com/en-us/azure/storage/common/storage-import-export-requirements