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NEW QUESTION: 1
Ihr Netzwerk enthält zwei Server mit den Namen Server1 und Server2, auf denen Windows Server 2012 R2 ausgeführt wird.
Auf beiden Servern ist die Hyper-V-Serverrolle installiert. Server1 und Server2 befinden sich in verschiedenen Büros. Die Büros sind über eine WAN-Verbindung mit hoher Latenz miteinander verbunden.
Server2 hostet eine virtuelle Maschine mit dem Namen VM1.
Sie müssen sicherstellen, dass Sie VM1 auf Server1 starten können, wenn Server2 ausfällt. Die Lösung muss die Hardwarekosten minimieren.
Was tun?
A. Ändern Sie in den Hyper-V-Einstellungen von Server2 die Einstellungen für die Replikationskonfiguration. Aktivieren Sie die Replikation für VM1.
B. Installieren Sie auf Server2 die MPIO-Funktion (Multipath I / O). Ändern Sie den Speicherort der virtuellen Festplatten für VM1.
C. Installieren Sie auf Server1 die MPIO-Funktion (Multipath I / O). Ändern Sie den Speicherort der virtuellen Festplatten für VM1.
D. Ändern Sie in den Hyper-V-Einstellungen von Server1 die Einstellungen für die Replikationskonfiguration. Aktivieren Sie die Replikation für VM1.
Answer: D
Explanation:
Erläuterung
Sie müssen zuerst die Replikation auf dem Replikatserver - Server1 - aktivieren, indem Sie zum Server wechseln und den Server ändern
"Replikationskonfiguration" -Einstellungen unter Hyper-V-Einstellungen. Anschließend gehen Sie zu VM1, das Server2 vorsieht, und führen den Assistenten zum Aktivieren der Replikation auf VM1 aus.

NEW QUESTION: 2
Which three techniques are applied to support Failover?
A. Vertical Scaleout
B. WebLogic Clustering
C. OBIEE Clustering
D. Universal Installer > Scale Out BI System option
Answer: B,C,D
Explanation:
Explanation
A: OBIEE 11g is centred on WebLogic Server as the underlying application server architecture.
B: If you want to scale out this infrastructure, you would typically run the OBIEE 11g installer on a second server, and instead of choosing to do a new install, you'd choose to instead scale out the existing BI domain.

Node2-2
C: OBIEE Clustering - Approach of Oracle BI Server Load balancing/Failover

NEW QUESTION: 3
CORRECT TEXT
Problem Scenario 86 : In Continuation of previous question, please accomplish following activities.
1 . Select Maximum, minimum, average , Standard Deviation, and total quantity.
2 . Select minimum and maximum price for each product code.
3. Select Maximum, minimum, average , Standard Deviation, and total quantity for each product code, hwoever make sure Average and Standard deviation will have maximum two decimal values.
4. Select all the product code and average price only where product count is more than or equal to 3.
5. Select maximum, minimum , average and total of all the products for each code. Also produce the same across all the products.
Answer:
Explanation:
See the explanation for Step by Step Solution and configuration.
Explanation:
Solution :
Step 1 : Select Maximum, minimum, average , Standard Deviation, and total quantity.
val results = sqlContext.sql('.....SELECT MAX(price) AS MAX , MIN(price) AS MIN ,
AVG(price) AS Average, STD(price) AS STD, SUM(quantity) AS total_products FROM products......) results. showQ
Step 2 : Select minimum and maximum price for each product code.
val results = sqlContext.sql(......SELECT code, MAX(price) AS Highest Price', MIN(price)
AS Lowest Price'
FROM products GROUP BY code......)
results. showQ
Step 3 : Select Maximum, minimum, average , Standard Deviation, and total quantity for each product code, hwoever make sure Average and Standard deviation will have maximum two decimal values.
val results = sqlContext.sql(......SELECT code, MAX(price), MIN(price),
CAST(AVG(price} AS DECIMAL(7,2)) AS Average', CAST(STD(price) AS DECIMAL(7,2))
AS 'Std Dev\ SUM(quantity) FROM products
GROUP BY code......)
results. showQ
Step 4 : Select all the product code and average price only where product count is more than or equal to 3.
val results = sqlContext.sql(......SELECT code AS Product Code',
COUNTf) AS Count',
CAST(AVG(price) AS DECIMAL(7,2)) AS Average' FROM products GROUP BY code
HAVING Count >=3"M") results. showQ
Step 5 : Select maximum, minimum , average and total of all the products for each code.
Also produce the same across all the products.
val results = sqlContext.sql( """SELECT
code,
MAX(price),
MIN(pnce),
CAST(AVG(price) AS DECIMAL(7,2)) AS Average',
SUM(quantity)-
FROM products
GROUP BY code
WITH ROLLUP""" )
results. show()

NEW QUESTION: 4
HOTSPOT
You have a server named Server1 that runs Windows Server 2016. Server1 has the Windows Application Proxy role service installed.
You need to publish Microsoft Exchange ActiveSync services by using the Publish New Application Wizard. The ActiveSync services must use preauthentication.
How should you configure Server1? To answer, select the appropriate options in the answer area.
Hot Area:

Answer:
Explanation:

Explanation/Reference:
Explanation:
Box 1: Active Directory Federation Services (ADFS)
The well-known HTTP basic authentication that you can use in scenarios such as Exchange Active Sync (ActiveSync). This is a new capability included in this release of Web Application Proxy. For the ActiveSync scenario, the authentication process includes four core steps:
Windows Application Proxy (WAP) stops the request and passes all credentials to AD FS.

AD FS validates, applies policy, and replies with a token.

Upon success, Web Application Proxy allows the request to pass to the Exchange server.

Web Application Proxy caches the token for future use.

Box 2: HTTP Basic
The well-known HTTP basic authentication that you can use in scenarios such as Exchange Active Sync (ActiveSync).

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