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NEW QUESTION: 1
An IS auditor should recommend the use of library control software to provide reasonable assurance that:
A. source and executable code integrity is maintained.
B. only thoroughly tested programs are released.
C. program changes have been authorized.
D. modified programs are automatically moved to production.
Answer: C
Explanation:
Explanation/Reference:
Explanation:
Library control software should be used to separate test from production libraries in mainframe and/or client server environments. The main objective of library control software is to provide assurance that program changes have been authorized. Library control software is concerned with authorized program changes and would not automatically move modified programs into production and cannot determine whether programs have been thoroughly tested. Library control software provides reasonable assurance that the source code and executable code are matched at the time a source code is moved to production.
However, subsequent events such as a hardware failure can result in a lack of consistency between source and executable code.

NEW QUESTION: 2
A retail company intends to use machine learning to categorize new products. A labeled dataset of current products was provided to the Data Science team. The dataset includes 1,200 products.
The labeled dataset has 15 features for each product such as title dimensions, weight, and price.
Each product is labeled as belonging to one of six categories such as books, games, electronics, and movies.
Which model should be used for categorizing new products using the provided dataset for training?
A. A DeepAR forecasting model based on a recurrent neural network (RNN)
B. A deep convolutional neural network (CNN) with a softmax activation function for the last layer
C. A regression forest where the number of trees is set equal to the number of product categories
D. AnXGBoost model where the objective parameter is set to multi:softmax
Answer: D
Explanation:
A XGBoost multi class classification.
https://medium.com/@gabrielziegler3/multiclass-multilabel-classification-with-xgboost-
66195e4d9f2d
CNN is used for image classificaiton problems.

NEW QUESTION: 3
You configure the following salary rule in the compensation plan template XML.
<comp-salary-rule useFor="merit" benchmark="range-penetration" actionOnExceed="disallow"><comp-salary-rule-threshold>100.0</comp-salary-rulethreshold><message-on-exceed><![CDATA[
You have exceeded the maximum of the salary range.
]]></message-on-exceed></comp-salary-rule>
On the compensation worksheet, a planner enters a merit increase, which puts the employee's final salary over the maximum for the salary range. How does the system behave?
Response:
A. The rule prevents the planner from saving the merit increase. The planner must go back and change their merit recommendation.
B. A popup message asks the planner if the exceeded amount should be assigned to lump sum. The planner cannot save the merit increase by selecting "Cancel" in the pop-up message.
C. The rule alerts the planner that the range penetration threshold has been exceeded and the merit field text turns red. The planner saves the merit recommendation.
D. A popup message asks the planner if the exceeded amount should be assigned to lump sum. The planner can save the merit recommendation by selecting "Cancel" in the pop-up message.
Answer: A

NEW QUESTION: 4
以下の各ステートメントについて、そのステートメントが正しい場合は「はい」を選択してください。そうでなければ、いいえを選択します。
注：それぞれ正しい選択は1ポイントの価値があります。

Answer:
Explanation: