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NEW QUESTION: 1

A. Option B
B. Option D
C. Option A
D. Option C
Answer: B
Explanation:
Explanation
You configure your load balancer to accept incoming traffic by specifying one or more listeners. A listener is a process that checks for connection requests. It is configured with a protocol and port number for connections from clients to the load balancer and a protocol and port number for connections from the load balancer to the targets.
Elastic Load Balancing supports three types of load balancers: Application Load Balancers, Network Load Balancers, and Classic Load Balancers. There is a key difference between the way you configure these load balancers. With Application Load Balancers and Network Load Balancers, you register targets in target groups, and route traffic to the target groups. With Classic Load Balancers, you register instances with the load balancer.

NEW QUESTION: 2
Your customer has customized two compensation statements from the SuccessStore. One statement is used for employees in the Manufacturing department and the other is used for all other employees.
How do you make sure that the Manufacturing employees receive the proper statement? Please choose the correct answer.
A. Make the Manufacturing statement template the default template.
B. Use role-based permissions in Admin Tools
C. Assign statement groups under Complete Compensation Cycle.
D. Set default permissions for the statement template under Action for All Plans.
Answer: C

NEW QUESTION: 3
Given:

Which two lines inserted in line 1 will allow this code to compile? (Choose two.)
A. private void walk(){}
B. abstract void walk();
C. void walk(){}
D. protected void walk(){}
E. public abstract void walk();
Answer: D,E

NEW QUESTION: 4
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
You are planning a big data infrastructure by using an Apache Spark cluster in Azure HDInsight. The cluster has 24 processor cores and 512 GB of memory.
The architecture of the infrastructure is shown in the exhibit. (Click the Exhibit button.)

The architecture will be used by the following users:
Support analysts who run applications that will use REST to submit Spark jobs.
Business analysts who use JDBC and ODBC client applications from a real-time view. The business analysts run monitoring queries to access aggregate results for 15 minutes. The results will be referenced by subsequent queries.
Data analysts who publish notebooks drawn from batch layer, serving layer, and speed layer queries. All of the notebooks must support native interpreters for data sources that are batch processed. The serving layer queries are written in Apache Hive and must support multiple sessions. Unique GUIDs are used across the data sources, which allow the data analysts to use Spark SQL.
The data sources in the batch layer share a common storage container. The following data sources are used:
Hive for sales data
Apache HBase for operations data
HBase for logistics data by using a single region server
The business analysts report that they experience performance issues when they run the monitoring queries.
You troubleshoot the performance issues and discover that the intermediate tables generated when the analysts run the queries cause pressure for the Java Virtual Machine (JVM) garbage collection per job.
Which configuration settings should you modify to alleviate the performance issues?
A. spark.sql.inMemoryColumnarStorage.batchSize
B. spark.sql.broadcastTimeout
C. spark.sql.shuffle.partitions
D. spark.sql.files.openCostInBytes
Answer: C

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