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NEW QUESTION: 1
You are designing a Spark job that performs batch processing of daily web log traffic.
When you deploy the job in the production environment, it must meet the following requirements:
* Run once a day.
* Display status information on the company intranet as the job runs.
You need to recommend technologies for triggering and monitoring jobs.
Which technologies should you recommend? To answer, drag the appropriate technologies to the correct locations. Each technology 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

Box 1: Livy
You can use Livy to run interactive Spark shells or submit batch jobs to be run on Spark.
Box 2: Beeline
Apache Beeline can be used to run Apache Hive queries on HDInsight. You can use Beeline with Apache Spark.
Note: Beeline is a Hive client that is included on the head nodes of your HDInsight cluster. Beeline uses JDBC to connect to HiveServer2, a service hosted on your HDInsight cluster. You can also use Beeline to access Hive on HDInsight remotely over the internet.
References:
https://docs.microsoft.com/en-us/azure/hdinsight/spark/apache-spark-livy-rest-interface
https://docs.microsoft.com/en-us/azure/hdinsight/hadoop/apache-hadoop-use-hive-beeline

NEW QUESTION: 2
Sie haben ein Azure-Abonnement mit dem Namen Abonnement1.
Sie aktivieren Azure Active Directory (AD) Privileged Identity Management.
In Azure AD Privileged Identity Management konfigurieren Sie die globale Administratorrolle für den Azure Active Directory-Mandanten (Azure AD), wie unter Rolleneinstellung angezeigt. (Klicken Sie auf die Registerkarte Ausstellung.)

In Azure AD Privileged Identity Management konfigurieren Sie die globalen Administratoren wie in der Mitgliederausstellung gezeigt. (Klicken Sie auf die Registerkarte Ausstellung.)

Benutzer2 aktiviert die globale Administratorrolle am 16. Juli 2018 um 10:00 Uhr, wie in der Aktivierungsausstellung gezeigt.
(Klicken Sie auf die Registerkarte Ausstellung.)

Wählen Sie für jede der folgenden Anweisungen Ja aus, wenn die Anweisung wahr ist. Andernfalls wählen Sie Nein.
HINWEIS: Jede richtige Auswahl ist einen Punkt wert.

Answer:
Explanation:

Erläuterung

NEW QUESTION: 3
Refer to the exhibits.
An architect is helping an organization with the Conceptual Design of an NSX-T Data Center solution. The conceptual design includes these requirements, assumptions, constraints, and risks:
* Critical applications must run across sites without changing IP address.
* Business continuity and disaster recovery (BCDR) plans will leverage a second site running vSphere.
* RTO/RPO must be reduced for recovery of applications on secondary site.
* IT Teams require automation tools for configuration.
Which Conceptual Design would the architect recommend to the customer?




A. Design Option 1
B. Design Option 4
C. Design Option 2
D. Design Option 3
Answer: D

NEW QUESTION: 4
Which of the following are feature engineering techniques? (Select 2 answers)
A. Feature prioritization
B. Hidden feature layers
C. Bucketization of a continuous feature
D. Crossed feature columns
Answer: C,D
Explanation:
Selecting and crafting the right set of feature columns is key to learning an effective model.
Bucketization is a process of dividing the entire range of a continuous feature into a set of consecutive bins/buckets, and then converting the original numerical feature into a bucket ID (as a categorical feature) depending on which bucket that value falls into.
Using each base feature column separately may not be enough to explain the data. To learn the differences between different feature combinations, we can add crossed feature columns to the model.
Reference:
https://www.tensorflow.org/tutorials/wide#selecting_and_engineering_features_for_the_mo del