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NEW QUESTION: 1
A. Use the RewriteMiddleware from Microsoft AspNetCore.Rewrite.
B. Use Http.sys as the web server for the application and Apache on Linux as the reverse proxy.
C. Use Kestrel as the web server for the application and Nginx on Linux as the reverse proxy.
D. Use the ForwardedHeaders middleware from Microsoft.AspNetCore.HttpOverrides.
Answer: A,C
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/aspnet/core/fundamentals/url-rewriting?view=aspnetcore-2.1
https://docs.microsoft.com/en-us/aspnet/core/fundamentals/servers/kestrel?view=aspnetcore-2.1
NEW QUESTION: 2
Which security concept focuses on minimizing the number of security points on the platform?
A. Vulnerability Management
B. Identify Access Management
C. Security Event Management
D. Threat Management
Answer: B
NEW QUESTION: 3
An LTM Specialist has a OneConnect profile and HTTP profile configured on a virtual server to load balance an HTTP application.
The following HTTP headers are seen in a network trace when a client connects to the virtual server:
Clientside:
GET / HTTP/1.1
Host: 192.168.136.100
User-Agent: Mozilla/5.0
Accept: text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8 Accept-EncodinG. gzip, deflate Connection: keep-alive Serverside:
HTTP/1.1 200 OK
DatE. 5 Jun 1989 17:06:55 GMT
Server: Apache/2.2.14 (Ubuntu)
Vary: Accept-Encoding
Content-EncodinG. gzip
Content-LengtH. 3729
X-Cnection: close
Content-TypE. text/html
The LTM Specialist notices the OneConnect feature is working incorrectly.
Why is OneConnect functioning incorrectly?
A. Server must support HTTP keep-alive.
B. Client must support HTTP/1.0.
C. Client must support HTTP keep-alive.
D. Server must support HTTP/0.9.
Answer: A
NEW QUESTION: 4
Drag and Drop Question
You need to configure the SalesAnalysis cube to correct the sales analysis by customer calculation.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation:
Step 1: Open the cube editor, and open the Dimension Usage tab.
Step 2: Configure a relationship between the Customer dimension and the Sales measure group.
Use Day as the granularity.
From scenario: 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.
Step 3: Reprocess the cube.
Step 4: Deploy the project changes.
Topic 1, 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.