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Exam Code: Analytics-DA-201 Dumps

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NEW QUESTION: 1
The schema SALES exists in two databases, ORCL1 and ORCL2, and has the same password, SALES123.
User SALES has CREATE DATABASE LINK and CREATE SESSION privileges on both databases.
Examine these commands:
Conn SALES/SALES123
CREATE DATABASE LINK orcl2 USING 'orcl2';
What is the outcome of executing these commands in the ORCL1 database?
A. ORCL2 database link creation fails.
B. ORCL2 is created as a public database link to connect a single session to the SALES schema in the ORCL2 database.
C. ORCL2 is created as a shared database link to connect multiple sessions to the SALES schema in the ORCL2 database.
D. ORCL2 is created as a private database link to connect to only the SALES schema in the ORCL2 database.
Answer: D

NEW QUESTION: 2
The screen captures above show the 802.1X authentication profile and AAA profile settings for a VAP.
If machine authentication fails and user authentication passes, which role will be assigned?


A. denyall
B. logon
C. employee
D. no role is assigned
E. guest
Answer: E

NEW QUESTION: 3
You are implementing Azure Stream Analytics functions.
Which windowing function should you use for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: Tumbling
Tumbling window functions are used to segment a data stream into distinct time segments and perform a function against them, such as the example below. The key differentiators of a Tumbling window are that they repeat, do not overlap, and an event cannot belong to more than one tumbling window.

Box 2: Hoppping
Hopping window functions hop forward in time by a fixed period. It may be easy to think of them as Tumbling windows that can overlap, so events can belong to more than one Hopping window result set. To make a Hopping window the same as a Tumbling window, specify the hop size to be the same as the window size.

Box 3: Sliding
Sliding window functions, unlike Tumbling or Hopping windows, produce an output only when an event occurs. Every window will have at least one event and the window continuously moves forward by an € (epsilon). Like hopping windows, events can belong to more than one sliding window.

References:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-window-functions

NEW QUESTION: 4
An Einstein Analytics consultant has been asked to refactor a dashboard so that it loads more quickly. After some analysis, the consultant found that most of the dashboard steps run in less than five seconds; however, the Opportunities Table takes 30 seconds to run.
How can the consultant improve the performance of this dashboard?
A. Create a second page on the dashboard and move the table to this new page.
B. Create a Visualforce page and display a list view of the opportunities on this new page.
C. Create a second dashboard and move the table to this new dashboard.
D. Create a link to download the list of opportunities as an Excel file.
Answer: B


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