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NEW QUESTION # 165
What is a key consideration when preparing a presentation intended for analysts?
- A. Provide talking points to promote or evangelize the project
- B. Describe how to implement the model
- C. Focus on clean simple-to-understand visuals
- D. Emphasize the business benefits of implementing the model
Answer: C
Explanation:
Analysts value clarity and interpretability in data presentations. Clean, simple-to-understand visuals help them accurately assess the data, model outputs, and insights without unnecessary complexity.
NEW QUESTION # 166
What converts SQL-like commands into either Tez, Spark, or MapReduce jobs that are submitted to the Hadoop cluster?
- A. Pig
- B. Mahout
- C. Hive
- D. HBase
Answer: C
Explanation:
Hive converts SQL-like commands into execution plans that run as Tez, Spark, or MapReduce jobs on a Hadoop cluster, enabling users to query large datasets using a familiar query language.
NEW QUESTION # 167
When is a Naïve Bayesian Classifier model for classification preferred versus a Logistic Regression model?
- A. When using several categorical input variables with over 1000 possible values each
- B. When some of the input variables might be correlated
- C. When all input variables are numerical
- D. When an estimate of the probability of an outcome is needed, not just which class it is in
Answer: A
NEW QUESTION # 168
What is holdout data?
- A. a subset of the provided data set that is removed by the data scientist because it contains data errors
- B. a subset of the provided data set selected at random and used to initially construct the model
- C. a subset of the provided data set selected at random and used to validate the model
- D. a subset of the provided data set that is removed by the data scientist because it contains outliers
Answer: C
NEW QUESTION # 169
Which word or phrase completes the statement? Business Intelligence is to ad-hoc reporting and dashboards as Data Science is to __________.
- A. Optimization and Predictive Modeling
- B. Alerts and Queries
- C. Sales and profit reporting
- D. Structured Data and Data Sources
Answer: A
NEW QUESTION # 170
A data scientist wants to predict the probability of death from heart disease based on three risk factors:
age, gender, and blood cholesterol level.
What is the most appropriate method for this project?
- A. Logistic regression
- B. Linear regression
- C. K-means clustering
- D. Apriori algorithm
Answer: A
NEW QUESTION # 171
Refer to the Exhibit.
You are going into a meeting where you anticipate your manager will have a question on your dataset.
Specifically, your manager will want to know about customers that are classified as renters with a good credit status.
In order to prepare for the meeting, you create a rule: RENTER => GOOD CREDIT.
What is the confidence of this rule?
- A. 18%
- B. 41%
- C. 63%
- D. 73%
Answer: C
NEW QUESTION # 172
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. Pig
- B. Howl
- C. Hive
- D. HBase
Answer: C
NEW QUESTION # 173
You have run a Linear Regression model on the data shown in the graphic.
Which value is a reasonable guess for R-squared?
- A. .25
- B. 1.25
- C. .8
- D. -.8
Answer: C
NEW QUESTION # 174
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. Select the model that demonstrates the most sophisticated technique and accuracy
- D. Develop all three models and perform model selection in the next step of the process
Answer: A
NEW QUESTION # 175
What does R code nv <- v[v < 1000] do?
- A. Selects values of vector v less than 1000, modifies v, and makes a copy to nv
- B. Removes elements of vector v less than 1000 and assigns the elements >= 1000 to nv
- C. Sets nv to TRUE or FALSE depending on whether all elements of vector v are less than 1000
- D. Selects the values in vector v that are less than 1000 and assigns them to the vector nv
Answer: D
NEW QUESTION # 176
Refer to the exhibit.
What is the approximate R-squared value for a linear regression model fitted to the data associated with this scatterplot?
- A. 0.01
- B. 0
- C. 1
- D. 0.96
Answer: A
NEW QUESTION # 177
Consider a scale that has five (5) values that range from "not important" to "very important".
Which data classification best describes this data?
- A. Ratio
- B. Ordinal
- C. Real
- D. Nominal
Answer: B
NEW QUESTION # 178
You have created a Logistic Regression model to predict customer churn for your company. The company's Marketing department wants to use your model to identify at-risk customers and offer incentives to keep them from leaving.
Using two different thresholds for the model provides the two confusion matrices shown in the graphic.
Marketing understands the relative costs of missing at-risk customers versus offering incentives to customers who are not at risk. Therefore, you need their advice on how to set the appropriate threshold on the churn model.
You are meeting with the Marketing team. In the meeting, you plan to state: "Raising the threshold from 0.5 to 0.75 reduces the number of unnecessary incentives that can be offered, at the cost of missing more of the customers who churned." What is the most appropriate visual to reinforce this statement?
- A.
- B.
- C.
- D.
Answer: C
NEW QUESTION # 179
In which phase of the data analytics lifecycle do Data Scientists spend the most time in a project?
- A. Model Building
- B. Communicate Results
- C. Data Preparation
- D. Discovery
Answer: C
NEW QUESTION # 180
You received 100,000 home loan records and want to quickly determine if there is any correlation between mortgage age and mortgage amount before conducting advanced analysis.
Which tool should be used for the preliminary analysis?
- A. Scatter plot
- B. Stacked Bar chart
- C. Box and Whisker plot
- D. Histogram
Answer: A
NEW QUESTION # 181
The graphic shows the values for the input Boolean attributes "A", "B", and "C". In addition, the graphic shows the values for the output attribute "class".
Which Decision Tree is valid for the data?
- A. Tree C
- B. Tree B
- C. Tree D
- D. Tree A
Answer: B
NEW QUESTION # 182
Refer to the exhibit.
To predict whether or not a customer will renew their annual property insurance policy, an insurance company built and operationalized a naïve Bayes classification model.
Inthemodel, therearetwo classlabels, renewaland non-renewal, thatare assignedtoeachcustomerbased on their attributes. Asubset of the key attributes, their values, and corresponding conditional probabilities are provided in the exhibit.
A customer has the following attributes:
- Age is greater than 65 years
- Owns their own home
- Renewal month is August
If 20% of customers do not renew their policies every year, what is the score for a non-renewal in the naïve Bayesian model for the customer described above?
- A. 0.0004
- B. 0.0002
- C. 0.0020
- D. 0.0040
Answer: A
NEW QUESTION # 183
You have the data from a popular e-commerce website. You are exploring the time spent (in seconds) on the website by 100,000 customers across 14 different product categories.
What visualization can be used to represent the relationship between time spent and product category?
- A. Hexbin plot
- B. Box and whisker plot
- C. Scatter plot
- D. Rug plot
Answer: B
Explanation:
A box and whisker plot is ideal for visualizing the relationship between time spent and product category, especially when you have multiple categories. It shows the distribution of time spent in each product category, including the median, quartiles, and any potential outliers.
NEW QUESTION # 184
In text analysis, what makes the corpus representation dynamic?
- A. Algorithms used to determine the classification or tagging
- B. Search and retrieval process for finding the document that meets the search criteria
- C. Requirement to update index and corpus metrics continuously
- D. Inherent high dimensionality in the problem of text analysis
Answer: C
NEW QUESTION # 185
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