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NEW QUESTION: 1
With respect to the outsourcing of IT services, which of the following conditions should be of GREATEST concern to an IS auditor?
A. Similar activities are outsourced to more than one vendor.
B. Periodic renegotiation is specified in the outsourcing contract.
C. Outsourced activities are core and provide a differentiated advantage to the organization.
D. The outsourcing contract fails to cover every action required by the arrangement.
Answer: C
Explanation:
Explanation/Reference:
Explanation:
An organization's core activities generally should not be outsourced, because they are what the organization does best; an IS auditor observing that should be concerned. An IS auditor should not be concerned about the other conditions because specification of periodic renegotiation in the outsourcing contract is a best practice. Outsourcing contracts cannot be expected to cover every action and detail expected of the parties involved, while multisourcing is an acceptable way to reduce risk.

NEW QUESTION: 2
Which encapsulation supports an interface that is configured for an EVN trunk?
A. MPLS
B. Frame Relay
C. HDLC
D. ISL
E. PPP
F. 802.1Q
Answer: F

NEW QUESTION: 3
You want to receive internal activities in the material cost estimate by using a routing. How
do achieve this?
Please choose the correct answer.
Response:
A. Assign a cost center and its activities to the corresponding work center.
B. Assign a cost center with category "production" to the routing operation.
C. Assign a cost element with type 43 (internal activity allocation) to the routing operation.
D. Assign a cost center and its activities directly to the routing header.
Answer: A

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 have an initial dataset that contains the crime data from major cities.
You plan to build training models from the training data. You plan to automate the process of adding more data to the training models and to constantly tune the models by using the additional data, including data that is collected in near real-time. The system will be used to analyze event data gathered from many different sources, such as Internet of Things (IoT) devices, live video surveillance, and traffic activities, and to generate predictions of an increased crime risk at a particular time and place.
You have an incoming data stream from Twitter and an incoming data stream from
Facebook, which are event-based only, rather than time-based. You also have a time interval stream every 10 seconds.
The data is in a key/value pair format. The value field represents a number that defines how many times a hashtag occurs within a Facebook post, or how many times a Tweet that contains a specific hashtag is retweeted.
You must use the appropriate data storage, stream analytics techniques, and Azure
HDInsight cluster types for the various tasks associated to the processing pipeline.
You are designing the real-time portion of the input stream processing. The input will be a continuous stream of data and each record will be processed one at a time. The data will come from an Apache Kafka producer.
You need to identify which HDInsight cluster to use for the final processing of the input data. This will be used to generate continuous statistics and real-time analytics. The latency to process each record must be less than one millisecond and tasks must be performed in parallel.
Which type of cluster should you identify?
A. Apache Spark
B. Apache Hadoop
C. Apache Storm
D. Apache HBase
Answer: C
Explanation:
References: https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-storm-overview