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NEW QUESTION: 1
On an 802.11 wireless LAN operating in DCF, when the last frame received contains errors, which of the following timing intervals are used?
A. Slot Time
B. Contention-free Repetition Interval
C. DCF Interframe Space
D. Extended Interframe Space
E. Superframe
Answer: D

NEW QUESTION: 2
Was ist der Hauptgrund für das Ethikbewusstsein und die damit verbundene Umsetzung von Richtlinien?
A. Dies wirkt sich auf das Ansehen einer Organisation aus.
B. Dies wirkt sich auf die Bindungsrate der Mitarbeiter aus.
C. Dies wirkt sich auf den Workflow einer Organisation aus.
D. Es wirkt sich auf die Moral der Mitarbeiter aus.
Answer: A

NEW QUESTION: 3
Which one of the following is a security issue related to aggregation in a database?
A. Inference
B. Partitioning
C. Data swapping
D. Polyinstantiation
Answer: A
Explanation:
Inference is the ability of users to infer or deduce information about data at sensitivity levels for which they do not have access privileges. -Ronald Krutz The CISSP PREP Guide (gold edition) pg 358 The other security issue is inference, which is very similar to aggregation. - Shon Harris All-in-one CISSP Certification Guide pg 727 Partitioning a database involves dividing the database into different parts, which makes it much harder for an unauthorized individual to find connecting pieces of data that can be brought together and other information that can be deduced or uncovered. - Shon Harris All-in-one CISSP Certification Guide pg 726 Polyinstantiation- This enables a relation to contain multiple tuples with the same primary keys with each instance distinguished by a security level. - Shon Harris All-in-one CISSP Certification Guide pg 727

NEW QUESTION: 4
You are creating an experiment by using Azure Machine Learning Studio.
You must divide the data into four subsets for evaluation. There is a high degree of missing values in the dat a. You must prepare the data for analysis.
You need to select appropriate methods for producing the experiment.
Which three modules should you run 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: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.

Answer:
Explanation:

Explanation:
The Clean Missing Data module in Azure Machine Learning Studio, to remove, replace, or infer missing values.
Incorrect Answers:
Latent Direchlet Transformation: Latent Dirichlet Allocation module in Azure Machine Learning Studio, to group otherwise unclassified text into a number of categories. Latent Dirichlet Allocation (LDA) is often used in natural language processing (NLP) to find texts that are similar. Another common term is topic modeling.
Build Counting Transform: Build Counting Transform module in Azure Machine Learning Studio, to analyze training data. From this data, the module builds a count table as well as a set of count-based features that can be used in a predictive model.
Missing Value Scrubber: The Missing Values Scrubber module is deprecated.
Feature hashing: Feature hashing is used for linguistics, and works by converting unique tokens into integers.
Replace discrete values: the Replace Discrete Values module in Azure Machine Learning Studio is used to generate a probability score that can be used to represent a discrete value. This score can be useful for understanding the information value of the discrete values.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/clean-missing-data