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EMC E20-007인증시험패스 하는 동시에 여러분의 인생에는 획기적인 일 발생한것이죠, 사업에서의 상승세는 당연한것입니다. IT업계종사자라면 누구나 이런 자격증을 취득하고싶어하리라고 믿습니다. 많은 분들이 이렇게 좋은 인증시험은 아주 어렵다고 생각합니다. 네 많습니다. 패스할확율은 아주 낮습니다. 노력하지않고야 당연히 불가능하죠.EMC E20-007시험은 기초지식 그리고 능숙한 전업지식이 필요요 합니다. 우리ITExamDump는 여러분들한테EMC E20-007시험을 쉽게 빨리 패스할 수 있도록 도와주는 사이트입니다. 우리ITExamDump의EMC E20-007시험관련자료로 여러분은 짧은시간내에 간단하게 시험을 패스할수 있습니다. 시간도 절약하고 돈도 적게 들이는 이런 제안은 여러분들한테 딱 좋은 해결책이라고 봅니다.
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시험 번호/코드: E20-007
시험 이름: EMC (Data Science and Big Data Analytics)
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Q&A: 165 문항
업데이트: 2013-11-17
EMC인증 E20-007시험패스는 고객님의 IT업계종사자로서의 전환점이 될수 있습니다.자격증을 취득하여 승진 혹은 연봉협상 방면에서 자신만의 위치를 지키고 더욱 멋진 IT인사로 거듭날수 있도록 고고싱할수 있습니다. ITExamDump의 EMC인증 E20-007덤프는 시장에서 가장 최신버전으로서 시험패스를 보장해드립니다.
E20-007 덤프무료샘플다운로드하기: http://www.itexamdump.com/E20-007.html
NO.1 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.2 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.3 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.4 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.5 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.6 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.7 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.8 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.9 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.10 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.11 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.12 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.13 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.14 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.15 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.16 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.17 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.18 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.19 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.20 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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