EMC Data Science and Big Data Analytics - E20-007 Exam Practice Test
Which graphical representation shows the distribution and multiple summary statistics of a continuous variable for each value of a corresponding discrete variable?
Correct Answer: B
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Your customer provided you with 2, 000 unlabeled records and asked you to separate them into three groups. What is the correct analytical method to use?
Correct Answer: C
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A call center for a large electronics company handles an average of 35, 000 support calls a day. The head of the call center would like to optimize the staffing of the call center during the rollout of a new product due to recent customer complaints of long wait times. You have been asked to create a model to optimize call center costs and customer wait times.
The goals for this project include:
1.Relative to the release of a product, how does the call volume change over time?
2.How to best optimize staffing based on the call volume for the newly released product, relative to old products.
3.Historically, what time of day does the call center need to be most heavily staffed?
4.Determine the frequency of calls by both product type and customer language.
Which goals are suitable to be completed with MapReduce?
The goals for this project include:
1.Relative to the release of a product, how does the call volume change over time?
2.How to best optimize staffing based on the call volume for the newly released product, relative to old products.
3.Historically, what time of day does the call center need to be most heavily staffed?
4.Determine the frequency of calls by both product type and customer language.
Which goals are suitable to be completed with MapReduce?
Correct Answer: A
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For which class of problem is MapReduce most suitable?
Correct Answer: D
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Which method is used to solve for coefficients b0, b1, .., bn in your linear regression model :
Y = b0 + b1x1+b2x2+....+bnxn
Y = b0 + b1x1+b2x2+....+bnxn
Correct Answer: C
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Which type of numeric value does a logistic regression model estimate?
Correct Answer: D
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Refer to the exhibit.
You have scored your Naive bayesian classifier model on a hold out test data for cross validation and determined the way the samples scored and tabulated them as shown in the exhibit.
What are the the False Positive Rate (FPR) and the False Negative Rate (FNR) of the model?
You have scored your Naive bayesian classifier model on a hold out test data for cross validation and determined the way the samples scored and tabulated them as shown in the exhibit.
What are the the False Positive Rate (FPR) and the False Negative Rate (FNR) of the model?
Correct Answer: D
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The Marketing department of your company wishes to track opinion on a new product that was recently introduced. Marketing would like to know how many positive and negative reviews are appearing over a given period and potentially retrieve each review for more in-depth insight.
They have identified several popular product review blogs that historically have published thousands of user reviews of your company's products.
You have been asked to provide the desired analysis. You examine the RSS feeds for each blog and determine which fields are relevant. You then craft a regular expression to match your new product's name and extract the relevant text from each matching review.
What is the next step you should take?
They have identified several popular product review blogs that historically have published thousands of user reviews of your company's products.
You have been asked to provide the desired analysis. You examine the RSS feeds for each blog and determine which fields are relevant. You then craft a regular expression to match your new product's name and extract the relevant text from each matching review.
What is the next step you should take?
Correct Answer: C
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What is the purpose of the process step "parsing" in text analysis?
Correct Answer: C
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Assume that you have a data frame in R. Which function would you use to display descriptive statistics about this variable?
Correct Answer: B
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Refer to the exhibit.
You are assigned to do an end of the year sales analysis of 1, 000 different products, based on the transaction table. Which column in the end of year report requires the use of a window function?
You are assigned to do an end of the year sales analysis of 1, 000 different products, based on the transaction table. Which column in the end of year report requires the use of a window function?
Correct Answer: C
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You are analyzing a time series and want to determine its stationarity. You also want to determine the order of autoregressive models.
How are the autocorrelation functions used?
How are the autocorrelation functions used?
Correct Answer: C
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You are using MADlib for Linear Regression analysis. Which value does the statement return?
SELECT (linregr(depvar, indepvar)).r2 FROM zeta1;
SELECT (linregr(depvar, indepvar)).r2 FROM zeta1;
Correct Answer: C
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