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NEW QUESTION: 1
Augmented Lead Context provides a sales representative with additional context about the lead. What object that is transferred along with the Lead provides the information about the product?
A. Predecessor Interaction
B. Business Partner
C. Lead Score
D. Campaign
Answer: A

NEW QUESTION: 2
To mitigate the risk of exposing data through application programming interface (API) queries, which of the following design considerations is
A. Data retention
B. Data integrity
C. Data minimalization
D. Data quality
Answer: B

NEW QUESTION: 3
To log in to the Avaya Aura® Media Server (AAMS) Element Manager (EM) from a browser, you must enter the correct URL.
Which URL format is correct to access the AAMS Element Manager (EM)?
A. https://<serveraddress>:8443/em
B. https://<serveraddress>:8800/em
C. https://<serveraddress>:/em
D. https://<serveraddress>:em
Answer: C
Explanation:
Explanation/Reference:
Reference: https://downloads.avaya.com/css/P8/documents/101017536 (33)

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
You need to ensure that the support analysts can develop embedded analytics applications by using the least amount of development effort.
Which technology should you implement?
A. Livy
B. Jupyter
C. Zeppelin
D. Apache Ambari
Answer: A
Explanation:
References: https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-apache-spark-livy-rest- interface