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NEW QUESTION: 1
Internal audit is considered best practice but is not required by law Which of the following does NOT describe a benefit of internal audit to the board of directors?
A. The internal audit function can help the audit committee to discharge their responsibilities for the ongoing monitoring of the risk in the company
B. The internal audit function can help the audit committee have confidence in the fraud prevention systems within the company
C. The internal audit function can report back to the audit committee if controls are not as effective as they should be
D. The internal audit function can provide independent assurance of the financial policies applied to the financial statements
Answer: D

NEW QUESTION: 2
A prospective customer is considering a Dell x86 server running Windows, VMware, and WebSphere versus a Power System running IBM i, AIX, PowerVM and WebSphere.
Which value proposition favors IBM in this situation?
A. Running an all IBM solution guarantees the highest performance.
B. When ordering all the components from IBM, a significant package discount is applied.
C. IBM can provide the entire hardware and software stack and is a single source for support if needed.
D. All the components are provided by IBM and are available in a single, integrated, pre-installed package.
Answer: C

NEW QUESTION: 3
You are building an intelligent solution using machine learning models.
The environment must support the following requirements:
* Data scientists must build notebooks in a cloud environment
* Data scientists must use automatic feature engineering and model building in machine learning pipelines.
* Notebooks must be deployed to retrain using Spark instances with dynamic worker allocation.
* Notebooks must be exportable to be version controlled locally.
You need to create the environment.
Which four 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.

Answer:
Explanation:

Explanation

Step 1: Create an Azure HDInsight cluster to include the Apache Spark Mlib library Step 2: Install Microsot Machine Learning for Apache Spark You install AzureML on your Azure HDInsight cluster.
Microsoft Machine Learning for Apache Spark (MMLSpark) provides a number of deep learning and data science tools for Apache Spark, including seamless integration of Spark Machine Learning pipelines with Microsoft Cognitive Toolkit (CNTK) and OpenCV, enabling you to quickly create powerful, highly-scalable predictive and analytical models for large image and text datasets.
Step 3: Create and execute the Zeppelin notebooks on the cluster
Step 4: When the cluster is ready, export Zeppelin notebooks to a local environment.
Notebooks must be exportable to be version controlled locally.
References:
https://docs.microsoft.com/en-us/azure/hdinsight/spark/apache-spark-zeppelin-notebook
https://azuremlbuild.blob.core.windows.net/pysparkapi/intro.html