2013년 11월 27일 수요일

EMC E20-007 덤프자료

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만약 아직도EMC E20-007인증시험 위하여 많은 시간과 정력을 소모하며 열심히 공부하고 있습니까? 아직도 어덯게하면EMC E20-007인증시험을 빠르게 취득할 수 있는 방법을 못찿고 계십니까? 지금ITExamDump에서EMC E20-007인증시험을 안전하게 넘을 수 있도록 대책을 내드리겠습니다. 아주 신기한 효과가 있을 것입니다.

EMC E20-007인증시험에 응시하고 싶으시다면 좋은 학습자료와 학습 가이드가 필요합니다.EMC E20-007시험은 it업계에서도 아주 중요한 인증입니다. 시험패스를 원하신다면 충분한 시험준비는 필수입니다.

EMC E20-007인증덤프가 ITExamDump전문가들의 끈임 없는 노력 하에 최고의 버전으로 출시되었습니다. 여러분의 꿈을 이루어드리려고 말이죠. IT업계에서 자기만의 자리를 잡고 싶다면EMC E20-007인증시험이 아주 좋은 자격증입니다. 만약EMC E20-007인증시험 자격증이 있다면 일에서도 많은 변화가 있을 것입니다, 연봉상승은 물론, 자기자신만의 공간도 넓어집니다.

성공으로 향하는 길에는 많은 방법과 방식이 있습니다. EMC인증 E20-007시험을 패스하는 길에는ITExamDump의EMC인증 E20-007덤프가 있습니다. ITExamDump의EMC인증 E20-007덤프는 실제시험 출제방향에 초점을 두어 연구제작한 시험준비공부자료로서 높은 시험적중율과 시험패스율을 자랑합니다.국제적으로 승인해주는 IT자격증을 취득하시면 취직 혹은 승진이 쉬워집니다.

시험 번호/코드: E20-007
시험 이름: EMC (Data Science and Big Data Analytics)
당신이 구입하기 전에 시도
일년동안 무료 업데이트
100% 환불보장약속
100% 합격율 보장
Q&A: 165 문항
업데이트: 2013-11-26

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

NO.1 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.2 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.3 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.4 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.5 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.6 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.7 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.8 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.9 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.10 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.11 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.12 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.13 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.14 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.15 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.16 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.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 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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NO.19 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.20 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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시험자료링크: http://www.itexamdump.com/E20-007.html

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