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NEW QUESTION # 83
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 previously worked extensively with SQL and databases.
Which query interface would you recommend?
- A. HBase
- B. Hive
- C. Howl
- D. Pig
Answer: B
NEW QUESTION # 84
Refer to the exhibit.
In association rules, for itemsets X and Y, which expression defines leverage?
- A. c
- B. d
- C. b
- D. a
Answer: D
NEW QUESTION # 85
Refer to the exhibit.
You are asked to write a report on how specific variables impact your client's sales using a data set provided to you by the client. The data includes 15 variables that the client views as directly related to sales, and you are restricted to these variables only.
After a preliminary analysis of the data, the following findings were made:
1. Multicollinearity is not an issue among the variables
2. Only three variables-A, B, and C-have significant correlation with sales You build a linear regression model on the dependent variable of sales with the independent variables of A, B, and C.
The results of the regression are seen in the exhibit.
Which interpretation is supported by the analysis?
- A. Due to the R2 of 0.10, the model is not valid - a different analytical model should be attempted
- B. Variables A, B, and C are significantly impacting sales, but are not effectively estimating sales
- C. Variables A, B, and C are significantly impacting sales and are effectively estimating sales
- D. Due to the R2 of 0.10, the model is not valid - the linear regression should be rerun with all 15 variables forced into the model to increase the R2
Answer: B
NEW QUESTION # 86
Which ROC curve represents a perfect model fit?
A)
B)
C)
D)
- A. Exhibit A
- B. Exhibit D
- C. Exhibit B
- D. Exhibit C
Answer: A
NEW QUESTION # 87
Which word or phrase completes the statement; "Discovering relationships is to Association Rules as generating forecasts is to __________."?
- A. Text Analysis
- B. Classification
- C. Time Series Analysis
- D. Clustering
Answer: C
NEW QUESTION # 88
In logistic regression modeling, what is the commonly assigned probability threshold used to assign a class label?
- A. 0.1
- B. 0.5
- C. 0.9
- D. 0.25
Answer: B
NEW QUESTION # 89
A data scientist is given an R data frame, "empdata", with the columns Age, Salary, Occupation, Education, and Gender. The data scientist would like to examine only the Salary and Occupation columns for ages greater than 40.
Which command extracts the appropriate rows and columns from the data frame?
- A. empdata[, c("Salary", "Occupation")]$Age > 40
- B. empdata[c("Salary", "Occupation"), empdata$Age > 40]
- C. empdata[Age > 40, ("Salary", "Occupation")]
- D. empdata[empdata$Age > 40, c("Salary", "Occupation")]
Answer: D
NEW QUESTION # 90
An IT department deployed a spam filter to reduce the amount of junk e-mail received by its employees.
After six months, they notice that the spam filter is less effective than when initially deployed.
They examine the system running the spam filter and it appears to be operating normally.
What action would improve the effectiveness of the spam filter?
- A. Retrain the spam filter with newer examples of spam emails
- B. Add more processing power to the spam filtering system
- C. Add more storage to the spam filtering system
- D. Create a linear regression model to calculate the probability of an email being spam
Answer: A
NEW QUESTION # 91
Which word or phrase completes the statement? Unix is to bash as Hadoop is to:
- A. NameNode
- B. Pig
- C. HDFS
- D. Sqoop
Answer: B
NEW QUESTION # 92
In time series analysis, what function is examined to identify the order of the moving average component of an ARIMA model?
- A. Exponential function
- B. Autocorrelation function
- C. Arithmetic mean function
- D. Geometric mean function
Answer: B
NEW QUESTION # 93
What is the optimal usage scenario for the Hadoop Distributed File System?
- A. Large files and high throughput
- B. Small files and low latency
- C. Small files and high throughput
- D. Large files and low latency
Answer: A
NEW QUESTION # 94
In association rules, given X -> Y, what is confidence?
- A. Percentage of transactions that contain the itemset
- B. Percentage of transactions with X that also contain Y
- C. How many times more often X and Y occur together than expected if they were statistically independent, expressed as a ratio
- D. Difference in the probability of X and Y appearing together compared with expectations if they were statistically independent
Answer: B
NEW QUESTION # 95
Why do the Naïve Bayesian classifier implementations use the log of probability value rather than the pure probability value?
- A. To avoid numerical underflow errors in high dimensional problems
- B. To invalidate the variables that are continuous
- C. To ensure the conditional independence of attribute values
- D. To obtain a more accurate estimate of the probabilities without the need for a Laplace smoothing
Answer: A
NEW QUESTION # 96
What is one modeling or descriptive statistical function in MADlib that is typically not provided in a standard relational database?
- A. Quantiles
- B. Variance
- C. Linear regression
- D. Expected value
Answer: C
NEW QUESTION # 97
Refer to the exhibit.
You have run a linear regression model against your data, and have plotted true outcome versus predicted outcome. The R-squared of your model is 0.75.
What is your assessment of the model?
- A. The observations seem to come from two different populations, but this model fits them both equally well.
- B. The extreme-valued outliers may negatively affect the model's performance. Remove them to see if the R-squared improves over typical data.
- C. The R-squared may be biased upwards by the extreme-valued outcomes. Remove them and refit to get a better idea of the model's quality over typical data.
- D. The R-squared is good. The model should perform well.
Answer: C
NEW QUESTION # 98
Consider the following SQL query:
SELECT product_id FROM supplier_A
UNION
SELECT product_id FROM supplier_B;
What is the expected result?
- A. All product_id values from both tables with duplicates or repeating rows
- B. All product_id values from supplier_A table but not from supplier_B table
- C. All product_id values from supplier_B table but not from supplier_A table
- D. All product_id values from both tables with no duplicates or repeating rows
Answer: D
NEW QUESTION # 99
You have been assigned to perform a study of the daily revenue effect of a pricing model of online transactions. All data currently available to you has been loaded into your analytics database. This includes revenue data, pricing data, and online transaction data.
You discover that all data comes in different levels of granularity. The transaction data has timestamps consisting of day, hour, minutes, and seconds. Pricing is stored at the daily level and revenue data is only reported monthly.
What is the next step?
- A. Disregard revenue as the key reason in the pricing model and create a daily model based on pricing and transactions only.
- B. Interpolate a daily model for revenue from the monthly revenue data.
- C. Report back to the business owner that the current data model does not support the business question.
- D. Aggregate all data to the monthly level in order to create a monthly revenue model.
Answer: C
NEW QUESTION # 100
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