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NEW QUESTION: 1
To which knowledge area does the Collect Requirements process belong?
A. Scope Management
B. Quality Management
C. Integration Management
D. Cost Management
Answer: A

NEW QUESTION: 2
Your network contains two Active Directory forests named contoso.com and fabrikam.com.
You have a standalone Network Policy Server (NPS) named NPS1.
You have a VPN server named VPN1. VPN1 is configured as a RADIUS client to NPS1.
You need to ensure that users from both forests can establish VPN connections by using
their own domain accounts.
What should you do?
A. On VPN1, modify the DNS suffix search order.
B. On NPS1, configure remediation server groups.
C. On VPN1, modify the IKEv2 Client connection controls.
D. On NPS1, configure connection request policies.
Answer: D
Explanation:
Connection request policies allow you to designate whether connection requests are
processed locally or forwarded to remote RADIUS servers.
For NAP VPN or 802.1X, you must configure PEAP authentication in connection request
policy.

NEW QUESTION: 3
DRAG DROP
Place the appropriate token next to each graphic

Answer:
Explanation:

Explanation:

NEW QUESTION: 4
You have a web app that accepts user input, and then uses a Microsoft Azure Machine Learning model to predict a characteristic of the user.
You need to perform the following operations:
* Track the number of web app users from month to month.
* Track the number of successful predictions made during the last minute.
* Create a dashboard showcasing the analytics tor the predictions and the web app usage.
Which lambda layer should you query for each operation? To answer, drag the appropriate layers to the correct operations. Each layer 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.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Lambda architecture is a data-processing architecture designed to handle massive quantities of data by taking advantage of both batch- and stream-processing methods. This approach to architecture attempts to balance latency, throughput, and fault-tolerance by using batch processing to provide comprehensive and accurate views of batch data, while simultaneously using real-time stream processing to provide views of online data.
The two view outputs may be joined before presentation
Box 1: Speed
The speed layer processes data streams in real time and without the requirements of fix-ups or completeness.
This layer sacrifices throughput as it aims to minimize latency by providing real-time views into the most recent data.
Box 2: Batch
The batch layer precomputes results using a distributed processing system that can handle very large quantities of data. The batch layer aims at perfect accuracy by being able to process all available data when generating views.
Box 3: Serving
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.