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NEW QUESTION # 103
Trend, seasonal, and cyclical are components of a time series.
What is another component?
- A. Linear
- B. Exponential
- C. Quadratic
- D. Irregular
Answer: D
NEW QUESTION # 104
Which word or phrase completes the statement? Business Intelligence is to ad-hoc reporting and dashboards as Data Science is to __________.
- A. Sales and profit reporting
- B. Structured Data and Data Sources
- C. Alerts and Queries
- D. Optimization and Predictive Modeling
Answer: D
NEW QUESTION # 105
What is a key consideration when preparing a presentation intended for sponsors?
- A. Emphasize the business benefits of implementing the model
- B. Describe how to implement the model
- C. Describe how current processes may be affected
- D. Provide details on model planning and building
Answer: A
NEW QUESTION # 106
Since R factors are categorical variables, they are most closely related to which data classification level?
- A. ratio
- B. interval
- C. nominal
- D. ordinal
Answer: C
NEW QUESTION # 107
What is a property of window functions in SQL commands?
- A. They can be used to calculate moving averages over various intervals.
- B. They group rows into a single output row.
- C. They can be used between the keywords FROM and WHERE in a SELECT command.
- D. They don't require ordering of data within a window.
Answer: A
NEW QUESTION # 108
What is one modeling or descriptive statistical function in MADlib that is typically not provided in a standard relational database?
- A. Expected value
- B. Quantiles
- C. Variance
- D. Linear regression
Answer: D
NEW QUESTION # 109
When creating a project sponsor presentation, what is the main objective?
- A. Show that you met the project goals
- B. Clearly describe the methods and techniques used
- C. Show how you met the project goals
- D. Show how well the model will meet the SLA (service level agreement)
Answer: A
NEW QUESTION # 110
You have been assigned to perform a study of the daily revenue effect of a pricing model of online transactions. All the data currently available has been loaded into an analytics database.
This data includes revenue data, pricing data, and online transaction data. You have completed a thorough univariate analysis of all data and have decided that there are three different models you want to test.
Preliminary results show that all models have equally effective results.
What is the next step?
- A. Prioritize models by complexity and feasibility, and proceed with the most feasible
- B. Identify which model the business owner wants and proceed with that model
- C. Develop all three models and perform model selection in the next step of the process
- D. Select the model that demonstrates the most sophisticated technique and accuracy
Answer: A
NEW QUESTION # 111
Why do the Naïve Bayesian classifier implementations use the log of probability value rather than the pure probability value?
- A. To obtain a more accurate estimate of the probabilities without the need for a Laplace smoothing
- B. To ensure the conditional independence of attribute values
- C. To avoid numerical underflow errors in high dimensional problems
- D. To invalidate the variables that are continuous
Answer: C
NEW QUESTION # 112
The average purchase size from your online sales site is $17, 200. The customer experience team believes a certain adjustment of the website will increase sales.
A pilot study on a few hundred customers showed an increase in average purchase size of $1.47, with a significance level of p=0.1. The team runs a larger study, of a few thousand customers.
The second study shows an increased average purchase size of $0.74, with a significance level of 0.03.
What is your assessment of this study?
- A. The difference in the change in purchase size between the two studies is troubling; The team should run another, larger study.
- B. The change in purchase size is small, but may aggregate up to a large increase in profits over the entire customer base.
- C. The p-value of the second study shows a statistically significant change in purchase size. The new website is an improvement.
- D. The change in purchase size is not practically important, and the good p-value of the second study is probably a result of the large study size.
Answer: D
NEW QUESTION # 113
You are assigned the task of creating customer profiles for your company. In your database, you have
25 key input variables that come together to define 2,500 customers. You decide to run a K-means cluster analysis on the 25 input variables based on k=4 to build your profiles.
Your analysis resulted in four cluster populations:
Cluster A=1,000 customers
Cluster B=560 customers
Cluster C=925 customers
Cluster D=15 customers
What should be attempted first to more evenly distribute the customer population across clusters?
- A. Increase K from 4 to 5
- B. Remove the 15 customers in Cluster D from the population
- C. Remove some of the input variables from the analysis
- D. Reduce K from 4 to 3
Answer: D
NEW QUESTION # 114
Which activity is performed in the Operationalize phase of the data analytics lifecycle?
- A. Try different variables
- B. Transform existing variables
- C. Try different analytical techniques
- D. Assess the benefits
Answer: D
NEW QUESTION # 115
Refer to the graphic.
How would you run the MADlib kmeans function?
- A. INSERT INTO madlib.kmeans('km_sample', 'coords', ... );
- B. ./madlib kmeans run -parallel -source "km_sample.coords" ...
- C. UPDATE madlib.kmeans SET centroids = madlib.kmeans('km_sample', 'coords', ... );
- D. SELECT * FROM madlib.kmeans('km_sample', 'coords', ... );
Answer: D
NEW QUESTION # 116
In a t-test with unknown variance, what values are used to calculate the t-statistic?
- A. Mean, sample standard deviation, and population size
- B. Sample mean, sample standard deviation, and sample size
- C. Sample mean, standard deviation, and sample size
- D. Mean, standard deviation, and population size
Answer: B
NEW QUESTION # 117
What is a distinct property of Logistic Regression compared with Linear Regression?
- A. Logistic Regression handles missing values well
- B. Logistic Regression is robust with redundant or correlated variables
- C. Logistic Regression works well with discrete variables that have many distinct values
- D. Logistic Regression returns probability estimates of an event
Answer: D
NEW QUESTION # 118
Which SQL OLAP extension provides all possible grouping combinations?
- A. ROLLUP
- B. CUBE
- C. UNION ALL
- D. CROSS JOIN
Answer: B
NEW QUESTION # 119
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