Category: Subjects

In 750 words or mroe 

Creating Company E-mail/WIFI/Internet Use Policies

You have just been hired as the Security Manager of a medium-sized Financial Services company employing 250 people in New Hampshire, and have been asked to write two new security policies for this company. The first one is an e-mail policy for employees concentrating on personal use of company resources. The second policy is that of WIFI and Internet use within the company.

There are many resources available on the web so researching these topics and policies should be easy. The most difficult part of this exercise will be determining how strict or how lenient you want to make these policies for this particular company.

Project Plan:

You are asked to create two separate policies on use of EMAIL and a WIFI/INTERNET USE within the company.

Be specific in your terms and conditions of use. Consider these items to be included in your policies (as applicable).

1. Overview 

2. Purpose 

3. Scope

4. Policy 

5. Policy Compliance

6. Related Standards, Policies and Processes

7. Definitions and Terms

Some useful links and resources for your research:

https://resources.workable.com/email-usage-policy-template

https://www.sans.org/security-resources/policies/general/pdf/email-policy

https://resources.infosecinstitute.com/acceptable-use-policy-template-public-wifi-networks/#gref

https://www.techrepublic.com/article/download-our-wireless-policy-template/

 

QUESTION 1

The TFIDF (or TF-IDF) is a measure that considers both  ______________ and ________________.

A.commonness of a term,  the scarcity of the term 

B.uncommoness of a term,  the scarcity of the term 

C.length of a term,  the scarcity of the term  

D.uncommoness of a term,  the weakness of the term  

5 points  

QUESTION 2

The term __________ refers to a specific implementation of association rules mining that many companies use for a variety of purposes.

A.market research analysis

B.market prediction analysis

C.market competitive analysis

D.market basket analysis

5 points  

QUESTION 3

A distribution over a fixed vocabulary of words is formally defined as..

A.subject

B.topic

C.story

D.text line

5 points  

QUESTION 4

Your customer provided you with 3,000 unlabeled records and asked you to separate them into three groups. What is the correct analytical method to use?

A.K-means clustering

B.Naive Bayesian classification

C.Linear regression

D.Logistic regression 

5 points  

QUESTION 5

Time series analysis attempts to model the underlying structure of ________________taken over time.

A.observation

B.patterns

C.solution

D.facts

5 points  

QUESTION 6

Which of the following algorithm are not an example of ensemble learning algorithm?

A.Random Forest

B.Adaboost

C.Gradient Boosting

D.Decision Trees  

5 points  

QUESTION 7

What is the difference between supervised learning and unsupervised learning?

A.Supervised learning algorithms work on data which are labelled. On the other hand, unsupervised learning algorithms work on unlabeled data.

B.Supervised learning algorithms work on data which are unlabelled. On the other hand, unsupervised learning algorithms work on labeled data.

C.Supervised learning algorithms work on raw data.  On the other had, unsupervised learning algorithms work on process data.

D.None of these

5 points  

QUESTION 8

1. The ____________ is the most iterative one and the one that teams tend to underestimate the amount of effort involved.
2. Discovery Phase
3. Model Building Phase
4. Operationalization Phase
5. Data Preparation Phase

5 points  

QUESTION 9

How many levels does fdata contain in the following R code. data = c(1,2,2,3,1,2,3,3,1,2,3,3,1), fdata = factor (data)

A.2,3,2

B.1,2,3

C.5,3,1

D.1,2,6

5 points  

QUESTION 10

A _______ is a table-like data structure available in languages like R and Python

A.data frame

B.data file

C.data table

D.database

5 points  

QUESTION 11

Which of the following are Measures of Central Tendency?

A.Mean,Range, Mode

B.Mean, Standard Deviation, Range

C.Mode, Mean, Median

D.Range, Standard Deviation, Variance  

5 points  

QUESTION 12

1. ________________________ is a probabilistic classification method based on Bayes’ theorem.

A.Naive function

B.Naive process

C.Naive Bayes

D.None of these

5 points  

QUESTION 13

1. What is a type I error? What is a type II error? Is one always more serious than the other? Why?

5 points  

QUESTION 14

1. The ______________ function builds a model of recursive  partitioning  and regression tree and have four parameters.

A.lpart()

B.mpart()

C.rpart ()

D.None of these

5 points  

QUESTION 15

In least squares regression, which of the following is not a required assumption about the error term ?

A.The expected value of the error term is one.

B.The variance of the error term is the same for all values of x.

C.The values of the error term are independent.

D.The error term is normally distributed. 

5 points  

QUESTION 16

During the Model Building phase, the team builds and executes _____________________________________________.

A.The models base on the work done in the Planning phase

B.The business requirement provided from business analyse

C.the models base on the work done in the Model Planning phase

D.None of the above

5 points  

QUESTION 17

Which of the following is the most important language in Data Science

A.C#

B.Java

C.Ruby

D.R

5 points  

QUESTION 18

Your organization has a website where visitors randomly receive one of two coupons. It is also possible that visitors to the website will not receive a coupon. You have been asked to determine if offering a coupon to visitors to your website has any impact on their purchase decision. Which analysis method should you use?

A.One-way ANOVA

B.K-means clustering 

C.Association rules

1. D.Student T-test

5 points  

QUESTION 19

How many steps does a text analysis problem consist of 

A.2

B.1

C.3

D.4

5 points  

QUESTION 20

A time series can consist of all of the following components except:

A.Time lapse

B.Trend

C.Cyclic

D.Seasonality

5 points  

QUESTION 21

Additional time series methods include all of the following except which one.

A.Autoregressive Moving Average with Exogenous inputs (ARMAX)

B.Spectral analysis

C.Kalman filtering

D.Single variable time series filtering

5 points  

QUESTION 22

The goal of POS tagging is to ______ whose input is a sentence.

A.build a text file 

B.build a model 

C.build a database

D.build a text graph  

5 points  

QUESTION 23

What happens in the final Operationalize phase? 

A.Requirements are gathered

B.The team delivers final reports, briefings, code, and technical documents. They may also run a pilot project to implement the models in a production environment.

C.The team delivers draft reports, draft briefings, code, and some technical documents. They may also run a pilot project to implement the models in a production environment.

D.None of the above

5 points  

QUESTION 24

What can be done if during the Discovery Phase the team decides that the available data is insufficient?

A.Cancel the project

B.Collect Additional Data

C.Work with what you already have

D.Do nothing

5 points  

QUESTION 25

In regression, the equation that describes how the response variable (y) is related to the explanatory variable (x) is

A.the correlation model

B.the regression model

C.used to compute the correlation coefficient

D.None of the above

5 points  

QUESTION 26

In chapter 8, a time series consists of an __________________ sequence of equally spaced values over time.

A.Unordered

B.Bilateral

C.ordered

D.lateral

5 points  

QUESTION 27

One advantage of ARIMA modeling is that the analysis can be based on _________________________for the variable of interest.

A.future time series data

B.historical time series data

C.historical time lapse data

D.None of the above

5 points  

QUESTION 28

What are the ‘resources’ being assessed in the Discovery Phase?

Cloud Resources

The business environment and business partners resources

Technology, Tools, Systems, Data, and People

None of the above

5 points  

QUESTION 29

Suppose you are using a bagging based algorithm say a RandomForest in model building. Which of the following can be true?

• Number of tree should be as large as possible
• You will have interpretability after using RandomForest

A.1

B.2

C.1 and 2

D.None of these   

5 points  

QUESTION 30

 HDFS block size is larger as compared to the size of the disk blocks so that _____________________

A.Only HDFS files can be stored in the disk used.

B.The seek time is maximum

C.Transfer of a large files made of multiple disk blocks is not possible.

D.A single file larger than the disk size can be stored across many disks in the cluster.

5 points  

QUESTION 31

The IDF inversely corresponds to the ______________________ , which is defined to be the number of documents in the corpus that contain a term.

A.document frequency (DF)

B.directory frequency (DF)

C.docker frequency (DF)

D.None of the above

5 points  

QUESTION 32

The arima () function in R uses ___________________________________ to estimate the model coefficients.

A.Maximum Likelihood Estimation (MLE)

B.Mini Likelihood Estimation (MLE)

C.Minimum Likelihood Estimation (MLE)

D.Mining Likelihood Estimation (MLE)

5 points  

QUESTION 33

R functionality is divided into a number of ________

A.Stored Procedures

B.Functions

C.Domains

D.Packages

5 points  

QUESTION 34

A __________________________is a simple and widely used visualization for finding the relationship among multiple variables and can represent data with up to five variables.

A.scatterplot

B.Dotchart and Barplot

C.Straight Plot

D.Box-and-Whisker Plot

5 points  

QUESTION 35

Which of the following R function can best provide descriptive statistics, such as the mean and median, about a variable as the sales data frame.

A.ggplot2 ()

B.dplyr ()

C.stringr ()

D.summary ()

5 points  

QUESTION 36

Your colleague, who is new to Hadoop, approaches you with a question. They want to know how best to access their data. This colleague has a strong background in data flow languages and programming. Which query interface would you recommend?

A.Howl

B.Pig

C.Hive

D.HBase 

5 points  

QUESTION 37

Many quantitative analysts use R as their____tool?

A.Leading tool

B.Programming tool

C.Primary Tool

D.All of the above

5 points  

QUESTION 38

In R, the ___________________ function creates a time series object from a vector or a matrix. 

A.ts ()

B.tk ()

C.ttime ()

D.plot()

5 points  

QUESTION 39

According to your text book, Chapter 4. clustering analysis groups _______________objects based on the objects’ __________.

A.similarity , cost

B.position, similarity

C.similarity, attributes

D.rank, attributes

5 points  

QUESTION 40

You have run the association rules algorithm on your data set, and the two rules {banana, apple} => {grape} and {apple, orange}=> {grape} have been found to be relevant. What else must be true?

A.{banana, apple, grape, orange} must be a frequent itemset.

B.{banana, apple} => {orange} must be a relevant rule.

C.{grape} => {banana, apple} must be a relevant rule.

D.{grape, apple, orange} must be a frequent itemset. 

5 points  

QUESTION 41

In regression analysis, the variable that is being predicted is the

A.Response, or dependent variable 

B.Independent variable 

C.Intervening variable

D.Usually X

5 points  

QUESTION 42

Which function is used to create the vector with more than one element?

A.Library()

B.plot()

C.c()

D.par()

5 points  

QUESTION 43

During the Model Building phase, the team develops _____________________________

A.Data application for testing, training, and production purposes

B.Datasets for testing, training, and production purposes

C.Datasets for prediction, training, and production purposes

D.Datasets for testing, training, and development purposes

5 points  

QUESTION 44

A data analysis must know when to pick the most suitable method for a given classification problem. When there is nonlinear data or discontinuities in the input variables that would affect the out, the best method choice to choose would be

A.Simple Regression

B.Naive Bayes

C.Logistic programming

D.Decision Tree

5 points  

QUESTION 45

Vectors come in two parts_____ and _____.

A.Atomic vectors and list

B.Atomic vectors and matrix

C.Atomic vectors and array

D.None of the above

5 points  

QUESTION 46

Which of the following is performed by Data Scientist?

A.Define the question

B.Create reproducible code

C.Challenge results

D.All of the above mentioned  

5 points  

QUESTION 47

Regression modeling is a statistical framework for developing a mathematical equation that describes how

A.one explanatory and one or more response variables are related

B.several explanatory and several response variables response are related 

C.one response and one or more explanatory variables are related 

D.All of these are correct.

5 points  

QUESTION 48

Text analysis, sometimes called text analytics, refers to the ___________,________ , and __________ of textual data to derive useful insights

A.representation,  processing , and  modeling

B.representation,  processing , and  designing

C.presentation,  processing , and  modeling

D.presentation,  storing , and  modeling

5 points  

QUESTION 49

What is a major difference between BI and Analytics?

A.Analytics has predictive capabilities whereas BI helps in informed decision-making based on analysis of past data

B.Analytics has no predictive capabilities whereas BI helps in informed decision-making based on analysis of past data 

C.Analytics has is not always reliable whereas BI helps in informed decision-making based on analysis of past data 

D.None of the above

5 points  

QUESTION 50

A ___________________________is a specific table layout that allows visualization of the performance of a  classier.

A.positive matrix

B.true matrix

C.confusion matrix

D.false positive rate matrix

5 points  

QUESTION 51

Which of the following are correct.

A.Raw data is original source of data

B.Preprocessed data is original source of data

C.Raw data is the data obtained after processing steps

D.None of the mentioned 

5 points  

QUESTION 52

Unsupervised learning is where you only have input data (X) and ______________________output variables.

A.two corresponding

B.three corresponding

C.no corresponding

D.two or more

5 points  

QUESTION 53

Which of the following is not  a critical characteristic of Big Data?

A.Velocity

B.Volume

C. Variety

D. Value

5 points  

QUESTION 54

What of the following are identified in the Communicate Results phase?

A.Key findings

B.A quantification of the business value

C.A narrative to summarize and convey findings to stakeholders

D.All of the above

5 points  

QUESTION 55

Which SQL function is used to count the number of rows in a SQL query?

A.COUNT()

B.NUMBER()

C.SUM()

D.COUNT(*) 

5 points  

QUESTION 56

Which of the following sort dataframe by the order of the elements in B

A.a.x[rev(order(x$B)),]

B.b.x[ordersort(x$B),]

C.c.x[order(x$B),]

D.None

5 points  

QUESTION 57

Which of the following is not a good practical use of Big Data Analytics?

A.Location Tracking

B.Precision Medicine

C.Customer Discrimination

D.Fraud Detection & Handling

5 points  

QUESTION 58

How many types of R objects are present in R data type?

A.1

B.17

C.4

D.6

5 points  

QUESTION 59An ______ is a workspace that is typically isolated from production applications and warehouse environments.

A.Private Environment

B.Sand Environment

C.Sandbox

D.Production box

5 points  

QUESTION 60

Data smoothing in predictive analytics is, essentially, trying to find the signal in the noise by discarding data points that are considered noisy. There are various smoothing techniques. Which of the following is NOT a smoothing  technique.

A.Laplace smoothing

B.Kneser-Ney smoothing

C.Katz smoothing

D.Statistical smoohting

5 points  

QUESTION 61

All of the following are the steps followed during a text analysis problem:

A.searching, parsing, and retrieval, and text mining

B.saving, parsing, and retrieval, and text mining

C.searching, parsing, and retrieval, and text saving 

D.searching, parting, and retrieval, and text mining

5 points  

QUESTION 62

Unlike Pig and Hive, which are intended for _____________ , Apache HBase is capable of providing _________________ and write access to datasets with billions of rows and millions of columns.

A.batch application, historic data read

B.batch application, real-time data read

C.batch application, speed data read

D.batch application, deep data read

5 points  

QUESTION 63

When writing SQL query statements, a RIGHT OUTER JOIN is used t specify that _____________________________from the table on the right-handside of the join, should be returned, regardless of whether there is a matching record found.

A.some rows

B.partial rows

C.all rows

D.all columns

5 points  

QUESTION 64

The conditional probability of event  C occurring, given then event A has already occurred, is denoted as 

A.P(A| C)

B.P(A| A) C

C.P(C| C) A

D.None of these