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NEW QUESTION: 1
Which of the following is based on the premise that the quality of a software product is a direct function of the quality of its associated software development and maintenance processes?
A. Expert Systems Model
B. The Spiral Model
C. The Software Capability Maturity Model (CMM)
D. The Waterfall Model
Answer: C
Explanation:
Explanation/Reference:
Explanation:
The Software Capability Maturity Model (CMM) is based on the premise that the quality of a software product is a direct function of the quality of its associated software development and maintenance processes. It introduces five maturity levels that serve as a foundation for conducting continuous process improvement and as an ordinal scale for measuring the maturity of the organization involved in the software processes.
CMM has Five Maturity Levels of Software Processes:
The initial level: processes are disorganized, even chaotic. Success is likely to depend on individual
efforts, and is not considered to be repeatable as processes would not be sufficiently defined and documented to allow them to be replicated.
The repeatable or managed level: basic project management techniques are established, and
successes could be repeated as the requisite processes would have been made established, defined, and documented.
The defined level: an organization has developed its own standard software process through greater
attention to documentation, standardization, and integration.
The quantatively managed level: an organization monitors and controls its own processes through data
collection and analysis.
The optimized level: processes are constantly being improved through monitoring feedback from
current processes and introducing innovative processes to better serve the organization's particular needs.
Incorrect Answers:
B: The Spiral model uses an iterative approach to software development with an emphasis on risk analysis. The iterative approach allows new requirements to be addressed as they are uncovered. Testing takes place early in the development project, and feedback based upon these tests is integrated into the following iteration of steps. The risk analysis ensures that all issues are actively reviewed and analyzed.
The evaluation phase allows the customer to evaluate the product in its current state and provide feedback, which is an input value for the following iteration of steps. This is a good model for complex projects that have fluid requirements.
C: The Waterfall model uses a linear-sequential life-cycle approach with each phase having to be completed in its entirety before the next phase can begin. At the end of each phase, a review takes place to make sure the project is on the correct path. In this model all requirements are gathered in the initial phase and it is difficult to integrate changes as more information becomes available or requirements change.
D: Expert systems is not a model for the development of software products. It is the use artificial intelligence (AI) to solve problems and is also called knowledge-based systems.
References:
Harris, Shon, All In One CISSP Exam Guide, 6th Edition, McGraw-Hill, New York, 2013, pp. 62, 1112,
1115-1116, 1120-1122, 1192
http://en.wikipedia.org/wiki/Capability_Maturity_Model
NEW QUESTION: 2
A company has a Microsoft Azure HDInsight solution that uses different cluster types to process and analyze data. Operations are continuous.
Reports indicate slowdowns during a specific lime window.
You need to determine a monitoring solution to track down the issue in the least amount of time.
What should you use?
A. HDInsight .NET SDK
B. Azure Log Analytics alert rule query
C. Ambari REST API
D. Azure Monitor Metrics
E. Azure Log Analytics log search query
Answer: C
Explanation:
Explanation
Ambari is the recommended tool for monitoring the health for any given HDInsight cluster.
Note: Azure HDInsight is a high-availability service that has redundant gateway nodes, head nodes, and ZooKeeper nodes to keep your HDInsight clusters running smoothly. While this ensures that a single failure will not affect the functionality of a cluster, you may still want to monitor cluster health so you are alerted when an issue does arise. Monitoring cluster health refers to monitoring whether all nodes in your cluster and the components that run on them are available and functioning correctly.
Ambari is the recommended tool for monitoring utilization across the whole cluster. The Ambari dashboard shows easily glanceable widgets that display metrics such as CPU, network, YARN memory, and HDFS disk usage. The specific metrics shown depend on cluster type. The "Hosts" tab shows metrics for individual nodes so you can ensure the load on your cluster is evenly distributed.
References:
https://azure.microsoft.com/en-us/blog/monitoring-on-hdinsight-part-1-an-overview/
NEW QUESTION: 3
DRAG DROP
You develop a bot by using Language Understanding Intelligence Service (LUIS) and the
.NET Bot framework. You use LUIS in the Azure portal to optimize the bot.
You review the utterances and determine that users are requesting time and venue information for events.
You need to improve the prediction efficiency of the bot.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Step 1: Create an intent for each event type
Identify your intents
Step 2: Add example utterances
Create example utterances for each intent
Step 3: Create a List Entity
Identify your entities
A list entity is an explicitly specified list of values. Each value consists of one or more synonyms. In a travel app, you might choose to create a list entity to represent airport names.
References:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-how-plan-your-app