EMC E20-007 덤프자료

지금21세기 IT업계가 주목 받고 있는 시대에 그 경쟁 또한 상상할만하죠, 당연히 it업계 중EMC E20-007인증시험도 아주 인기가 많은 시험입니다. 응시자는 매일매일 많아지고 있으며, 패스하는 분들은 관련it업계에서 많은 지식과 내공을 지닌 분들뿐입니다.

만약 아직도EMC E20-007시험패스를 위하여 고군분투하고 있다면 바로 우리 ITExamDump를 선택함으로 여러분의 고민을 날려버릴 수 잇습니다, 우리 ITExamDump에서는 최고의 최신의 덤프자료를 제공 합으로 여러분을 도와EMC E20-007인증자격증을 쉽게 취득할 수 있게 해드립니다. 만약EMC E20-007인증시험으로 한층 업그레이드된 자신을 만나고 싶다면 우리ITExamDump선택을 후회하지 않을 것입니다, 우리ITExamDump과의 만남으로 여러분은 한번에 아주 간편하게EMC E20-007시험을 패스하실 수 있으며,EMC E20-007자격증으로 완벽한 스펙을 쌓으실 수 있습니다,

ITExamDump 는 완전히 여러분이 인증시험준비와 안전이 시험패스를 위한 완벽한 덤프제공사이트입니다.우리 ITExamDump의 덤프들은 응시자에 따라 ,시험 ,시험방법에 따라 제품의 완성도도 다릅니다.그 말은 즉 알 맞춤 자료입니다.여러분은 ITExamDump의 알맞춤 덤프들로 아주 간단하고 편안하게 패스할 수 있습니다.많은 it인증관연 응시자들은 모두 우리ITExamDump가 제공하는 문제와 답 덤프로 자격증 취득을 했습니다.때문에 우리ITExamDump또한 업계에서 아주 좋은 이미지를 가지고 잇습니다

시험 번호/코드: E20-007
시험 이름: EMC (Data Science and Big Data Analytics)
당신이 구입하기 전에 시도
일년동안 무료 업데이트
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Q&A: 165 문항
업데이트: 2013-11-03

우리의 덤프는 기존의 시험문제와 답과 시험문제분석 등입니다. ITExamDump에서 제공하는EMC E20-007시험자료의 문제와 답은 실제시험의 문제와 답과 아주 비슷합니다. ITExamDump는 여러분이 한번에EMC E20-007인증시험을 패스함을 보장 드립니다.

EMC인증 E20-007시험은 빨리 패스해야 되는데 어디서부터 어떻게 시험준비를 시작해야 하는지 갈피를 잡을수 없는 분들은ITExamDump가 도와드립니다. ITExamDump의 EMC인증 E20-007덤프만 공부하면 시험패스에 자신이 생겨 불안한 상태에서 벗어날수 있습니다.덤프는 시장에서 가장 최신버전이기에 최신 시험문제의 모든 시험범위와 시험유형을 커버하여EMC인증 E20-007시험을 쉽게 패스하여 자격증을 취득하여 찬란한 미래에 더 가깝도록 도와드립니다.

E20-007 덤프무료샘플다운로드하기: http://www.itexamdump.com/E20-007.html

NO.1 In which lifecycle stage are test and training data sets created?
A. Model building
B. Model planning
C. Discovery
D. Data preparation
Answer: A

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NO.2 When creating a presentation for a technical audience, what is the main objective?
A. Show that you met the project goals
B. Show how you met the project goals
C. Show if the model will meet the SLA
D. Show the technique to be used in the production environment
Answer: B

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NO.3 You are using MADlib for Linear Regression analysis. Which value does the statement return?
SELECT (linregr(depvar, indepvar)).r2 FROM zeta1;
A. Goodness of fit
B. Coefficients
C. Standard error
D. P-value
Answer: A

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NO.4 In R, functions like plot() and hist() are known as what?
A. generic functions
B. virtual methods
C. virtual functions
D. generic methods
Answer: B

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NO.5 You are using the Apriori algorithm to determine the likelihood that a person who owns a home has a
good credit score. You have determined that the confidence for the rules used in the algorithm is > 75%.
You calculate lift = 1.011 for the rule, "People with good credit are homeowners". What can you determine
from the lift calculation?
A. Support for the association is low
B. Leverage of the rules is low
C. The rule is coincidental
D. The rule is true
Answer: C

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NO.6 In data visualization, what is used to focus the audience on a key part of a chart?
A. Emphasis colors
B. Detailed text
C. Pastel colors
D. A data table
Answer: A

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NO.7 Your company has 3 different sales teams. Each team's sales manager has developed incentive offers
to increase the size of each sales transaction. Any sales manager whose incentive program can be
shown to increase the size of the average sales transaction will receive a bonus.
Data are available for the number and average sale amount for transactions offering one of the incentives
as well as transactions offering no incentive.
The VP of Sales has asked you to determine analytically if any of the incentive programs has resulted in a
demonstrable increase in the average sale amount. Which analytical technique would be appropriate in
this situation?
A. One-way ANOVA
B. Multi-way ANOVA
C. Student's t-test
D. Wilcoxson Rank Sum Test
Answer: A

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NO.8 What does the R code
z <- f[1:10, ]
do?
A. Assigns the first 10 rows of f to the vector z
B. Assigns the 1st 10 columns of the 1st row of f to z
C. Assigns a sequence of values from 1 to 10 to z
D. Assigns the 1st 10 columns to z
Answer: A

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NO.9 Under which circumstance do you need to implement N-fold cross-validation after creating a
regression model?
A. There is not enough data to create a test set.
B. The data is unformatted.
C. There are missing values in the data.
D. There are categorical variables in the model.
Answer: A

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NO.10 When would you use GROUP BY ROLLUP clause in your OLAP query?
A. where all subtotals and grand totals are to be included in the output
B. where only the subtotals are to be included in the output
C. where only the grand totals are to be included in the output
D. where only specific subtotals and grand totals for a combination of variables are to be included in the
output
Answer: A

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NO.11 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. Pig
B. Hive
C. Howl
D. HBase
Answer: A

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NO.12 A data scientist plans to classify the sentiment polarity of 10, 000 product reviews collected from the
Internet. What is the most appropriate model to use? Suppose labeled training data is available.
A. Na ve Bayesian classifier
B. Linear regression
C. Logistic regression
D. K-means clustering
Answer: A

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NO.13 Consider a database with 4 transactions:
Transaction 1: {cheese, bread, milk}
Transaction 2: {soda, bread, milk}
Transaction 3: {cheese, bread}
Transaction 4: {cheese, soda, juice}
You decide to run the association rules algorithm where minimum support is 50%. Which rule has a
confidence at least 50%?
A. {cheese} => {bread}
B. {juice} => {cheese}
C. {milk} => {soda}
D. {soda} => {milk}
Answer: A

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NO.14 Which word or phrase completes the statement? Data-ink ratio is to data visualization as __________ .
A. Confusion matrix is to classifier
B. Data scientist is to big data
C. Seasonality is to ARIMA
D. K-means is to Naive Bayes
Answer: A

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NO.15 What is an appropriate data visualization to use in a presentation for an analyst audience?
A. Pie chart
B. Area chart
C. Stacked bar chart
D. ROC curve
Answer: D

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NO.16 Consider a database with 4 transactions:
Transaction 1: {cheese, bread, milk}
Transaction 2: {soda, bread, milk}
Transaction 3: {cheese, bread}
Transaction 4: {cheese, soda, juice}
The minimum support is 25%. Which rule has a confidence equal to 50%?
A. {bread,milk} => {cheese}
B. {bread} => {milk}
C. {juice} => {soda}
D. {bread} => {cheese}
Answer: D

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NO.17 Which type of numeric value does a logistic regression model estimate?
A. Probability
B. A p-value
C. Any integer
D. Any real number
Answer: A

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NO.18 The web analytics team uses Hadoop to process access logs. They now want to correlate this data
with structured user data residing in a production single-instance JDBC database. They collaborate with
the production team to import the data into Hadoop. Which tool should they use?
A. Sqoop
B. Pig
C. Chukwa
D. Scribe
Answer: A

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NO.19 What would be considered "Big Data"?
A. An OLAP Cube containing customer demographic information about 100,000,000 customers
B. Daily Log files from a web server that receives 100,000 hits per minute
C. Aggregated statistical data stored in a relational database table
D. Spreadsheets containing monthly sales data for a Global 100 corporation
Answer: B

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NO.20 Which data asset is an example of quasi-structured data.?
A. Webserver log
B. XML data file
C. Database table
D. News article
Answer: A

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