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NEW QUESTION: 1
What statement accurately describes an advantage of manual RF site surveys over predictive site surveys?
A. Manual site surveys are more efficient than predictive site surveys in large facilities because GPS mapping can be used.
B. Manual site surveys allow the site surveyor to create a static RF environment, whereas predictive site surveys are subject to changes in the RF environment.
C. Manual site surveys are useful for locating and identifying sources of RF interference, while predictive site surveys are not capable of this task.
D. Manual site surveys are more accurate than predictive site surveys because they take advantage of complex computer simulations.
Answer: C

NEW QUESTION: 2
You are developing an application.
The application contains the following code segment (line numbers are included for reference only):

When you run the code, you receive the following error message: "Cannot implicitly convert type 'object'' to 'int'. An explicit conversion exists (are you missing a cast?)." You need to ensure that the code can be compiled.
Which code should you use to replace line 05?
A. var2 = (int) arrayl [0];
B. var2 = arrayl[0].Equals(typeof(int));
C. var2 = arrayl[0] is int;
D. var2 = ((List<int>)arrayl) [0];
Answer: A

NEW QUESTION: 3
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

You need to ensure that the data analysts can use the notebooks.
What should you install?
A. Zeppelin in the batch layer
B. Zeppelin on workstations that access the batch layer
C. Jupyter on workstations that access the batch layer
D. Jupyter in the batch layer
Answer: B
Explanation:
Explanation/Reference:
Explanation:
References: https://dzone.com/articles/data-visualization-using-apache-zeppelin

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