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NEW QUESTION: 1
Examine the following Rule Base.

What can we infer about the recent changes made to the Rule Base?
A. Te rules 1, 5 and 6 cannot be edited by the 'admin' administrator
B. 8 changes have been made by administrators since the last policy installation
C. Rule 1 and object webserver are locked by another administrator
D. Rule 7 was created by the 'admin' administrator in the current session
Answer: C
Explanation:
Explanation/Reference:
Explantation: On top of the print screen there is a number "8" which consists for the number of changes made and not saved.
Session Management Toolbar (top of SmartConsole)

Reference: https://sc1.checkpoint.com/documents/R80/CP_R80_SecMGMT/html_frameset.htm?
topic=documents/R80/CP_R80_SecMGMT/117948

NEW QUESTION: 2
In quality management, the practice "rework" is______________
A. Action taken to bring a defective or nonconforming component into compliance
B. An adjustment made that is based on quality control measurements
C. Acceptable under certain circumstances
D. Not a concern if errors are detected early
Answer: A
Explanation:
Explanation/Reference:
Explanation:
Rework is a frequent cause of project overruns. The project team must make every reasonable effort to control and minimize rework so that defective or nonconforming components are brought into compliance with requirements or specifications.

NEW QUESTION: 3
You are designing a data processing solution that will implement the lambda architecture pattern. The solution will use Spark running on HDInsight for data processing.
You need to recommend a data storage technology for the solution.
Which two technologies should you recommend? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
A. Azure Cosmos DB
B. Kafka HDInsight
C. Apache Cassandra
D. Azure Service Bus
E. Azure Storage Queue
Answer: A
Explanation:
Explanation
To implement a lambda architecture on Azure, you can combine the following technologies to accelerate realtime big data analytics:
Azure Cosmos DB, the industry's first globally distributed, multi-model database service.
Apache Spark for Azure HDInsight, a processing framework that runs large-scale data analytics applications Azure Cosmos DB change feed, which streams new data to the batch layer for HDInsight to process The Spark to Azure Cosmos DB Connector E: You can use Apache Spark to stream data into or out of Apache Kafka on HDInsight using DStreams.
References:
https://docs.microsoft.com/en-us/azure/cosmos-db/lambda-architecture