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NEW QUESTION: 1
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this scenario, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You plan to create an Azure Databricks workspace that has a tiered structure. The workspace will contain the following three workloads:
* A workload for data engineers who will use Python and SQL
* A workload for jobs that will run notebooks that use Python, Spark, Scala, and SQL
* A workload that data scientists will use to perform ad hoc analysis in Scala and R The enterprise architecture team at your company identifies the following standards for Databricks environments:
* The data engineers must share a cluster.
* The job cluster will be managed by using a request process whereby data scientists and data engineers provide packaged notebooks for deployment to the cluster.
* All the data scientists must be assigned their own cluster that terminates automatically after 120 minutes of inactivity. Currently, there are three data scientists.
You need to create the Databrick clusters for the workloads.
Solution: You create a Standard cluster for each data scientist, a High Concurrency cluster for the data engineers, and a Standard cluster for the jobs.
Does this meet the goal?
A. No
B. Yes
Answer: A
Explanation:
Explanation
We would need a High Concurrency cluster for the jobs.
Note:
Standard clusters are recommended for a single user. Standard can run workloads developed in any language:
Python, R, Scala, and SQL.
A high concurrency cluster is a managed cloud resource. The key benefits of high concurrency clusters are that they provide Apache Spark-native fine-grained sharing for maximum resource utilization and minimum query latencies.
References:
https://docs.azuredatabricks.net/clusters/configure.html

NEW QUESTION: 2
Welche der folgenden Aussagen bezieht sich auf ein Authentifizierungsprotokoll, für das zwei unabhängige Methoden zum Festlegen von Identität und Berechtigungen erforderlich sind?
A. Zwei-Faktor-Authentifizierung
B. Authentifizierung mit zwei Schlüsseln
C. Authentifizierung mit zwei Passwörtern
D. Authentifizierung mit starkem Faktor
E. Authentifizierung mit zwei Kennwörtern
F. Rich-Factor-Authentifizierung
Answer: A
Explanation:
Erläuterung:
Die Zwei-Faktor-Authentifizierung (T-FA) bezieht sich auf jedes Authentifizierungsprotokoll, für das zwei unabhängige Methoden zum Herstellen von Identität und Berechtigungen erforderlich sind. Gängige Implementierungen der Zwei-Faktor-Authentifizierung verwenden "etwas, das Sie kennen" als einen der beiden Faktoren und verwenden entweder "etwas, das Sie haben" oder "etwas, das Sie sind" als den anderen Faktor. Die Verwendung von mehr als einem Faktor wird auch als starke Authentifizierung bezeichnet. Auf der anderen Seite wird die Verwendung nur eines Faktors von einer schwachen Authentifizierung berücksichtigt.

NEW QUESTION: 3
Given:
/code/a/Test.java
containing:

and
/code/b/Best.java
containing:
package b;
public class Best { }
Which is the valid way to generate bytecode for all classes?
A. javac -d /code /code/a/Test
B. java /code/a/Test.java /code/b/Best.java
C. javac -d /code /code/a/Test.java /code/b/Best.java
D. javac -d /code /code/a/Test.java
E. java -cp /code a.Test
F. java /code/a/Test.java
Answer: C