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NEW QUESTION: 1
Is this a way to compare HPE GreenLake to traditional capital purchases to show the lower total cost of ownership with HPE GreenLake?
Solution: Explain that with traditional capital purchases, customers cannot respond to demand and risk losing revenue or must overprovision resources.
A. No
B. Yes
Answer: A

NEW QUESTION: 2
DRAG DROP
A company has an Active Directory Domain Services domain. You plan to implement Active Directory Federation
Service (AD FS) with single sign-on.
You have the following requirements:
-Servers must an Windows Server 2012 R2.
-Internet-facing servers must be placed in the perimeter network.
-The solution must support at least 105 AD FS trust relationships.
You need to deploy the appropriate roles. Each record may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.

Answer:
Explanation:
Perimeter: Web Application Proxy
Application: AD FS
Database: SQL (required above 100 Relay Party Trusts)

NEW QUESTION: 3
You are designing a solution based on the lambda architecture.
The solution has the following layers;
* Batch
* Speed
* Serving
You are planning the data ingestion process and the query execution.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: No
Box 2: No
Output from the batch and speed layers are stored in the serving layer, which responds to ad-hoc queries by returning precomputed views or building views from the processed data.

Box 3: Yes.
We are excited to announce Interactive Queries, a new feature for stream processing with Apache Kafka.
Interactive Queries allows you to get more than just processing from streaming.
Note: Lambda architecture is a popular choice where you see stream data pipelines applied (speed layer).
Architects can combine Apache Kafka or Azure Event Hubs (ingest) with Apache Storm (event processing), Apache HBase (speed layer), Hadoop for storing the master dataset (batch layer), and, finally, Microsoft Power BI for reporting and visualization (serving layer).