Attested DEA-7TT2 Dumps PDF Resource [2025]
Latest DEA-7TT2 Actual Free Exam Questions Updated 233 Questions
NEW QUESTION # 118
A data scientist is asked to implement an article recommendation feature for an online magazine. The magazine does not want to use client tracking technologies such as cookies or reading history.
Therefore, only the style and subject matter of the current article is available for making recommendations. All of the magazine's articles are stored in a database in a format suitable for analytics.
Which method should the data scientist try first?
Response:
- A. Association Rules
- B. Logistic Regression
- C. Naive Bayesian
- D. K Means Clustering
Answer: D
NEW QUESTION # 119
When would you use a Wilcoxson Rank Sum test?
Response:
- A. When the data cannot easily be sorted
- B. When you cannot make an assumption about the distribution of the populations
- C. When the data can easily be sorted
- D. When the populations represent the sums of other values
Answer: B
NEW QUESTION # 120
An analyst is searching a corpus of documents for the topic "solid state disk". As shown in the graphic, Table A provides the inverse document frequency for each term across the corpus. Table B provides each term's frequency in four documents selected from the corpus.
Based on the four documents, which document is most relevant to the analyst's search?
Response:
- A. Document D
- B. Document B
- C. Document C
- D. Document A
Answer: A
NEW QUESTION # 121
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?
Response:
- A. Goal 2 and 4
- B. Goals 1, 2, 3, 4
- C. Goal 1 and 3
- D. Goals 2, 3, 4
Answer: A
NEW QUESTION # 122
What is the difference between the array and list data structures in R?
Response:
- A. Arrays contain only the same data type;Lists can contain different data types
- B. Arrays are only 2-dimensional;Lists are N-dimensional
- C. Arrays can contain different data types;Lists can contain only the same data type
- D. Arrays are N-dimensional;Lists are only 2-dimensional
Answer: A
NEW QUESTION # 123
What are challenges presented by Big Data?
Response:
- A. New technologies, tools, and business processes only
- B. New technologies, and tools only
- C. New technologies, tools, business processes, and regulatory rules
- D. New technologies, tools and regulatory rules only
Answer: C
NEW QUESTION # 124
What is the primary function of the NameNode in Hadoop?
Response:
- A. Acts as a regulator/resolver among clients and DataNodes
- B. Monitors the state of each JobTracker node and signals an event if unavailable
- C. Keeps track of which MapReduce jobs have been assigned to each TaskTracker
- D. Runs some number of mapping tasks against its assigned data
Answer: A
NEW QUESTION # 125
When is the GROUP BY ROLLUP clause used in an OLAP query?
Response:
- A. Subtotals are only to be included in the output
- B. Grand totals are only to be included in the output
- C. Specific subtotals and grand totals for a combination of variables are only to be included in the output
- D. All subtotals and grand totals are to be included in the output
Answer: D
NEW QUESTION # 126
Refer to the exhibit.
After analyzing a dataset, you report findings to your team:
1. Variables A and C are significantly and positively impacting the dependent variable.
2. Variable B is significantly and negatively impacting the dependent variable.
3. Variable D is not significantly impacting the dependent variable.
After seeing your findings, the majority of your team agreed that variable B should be positively impacting the dependent variable.
What is a possible reason the coefficient for variable B was negative and not positive?
Response:
- A. Variable B needs a logarithmic transformation due to its relationship to the dependent variable
- B. Variable B needs a quadratic transformation due to its relationship to the dependent variable
- C. The information gain from variable B is already provided by another variable
- D. Variable B is interacting with another variable due to correlated inputs
Answer: D
NEW QUESTION # 127
Before building an ARMA model, how can you determine if the time series is weakly stationary?
Response:
- A. Mean of the series is close to 0
- B. Constant variance around a constant mean is apparent
- C. Series is normally distributed
- D. No trend component is apparent
Answer: B
NEW QUESTION # 128
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?
Response:
- A. Multi-way ANOVA
- B. One-way ANOVA
- C. Student,s t-test
- D. Wilcox son Rank Sum Test
Answer: B
NEW QUESTION # 129
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?
Response:
- A. Support for the association is low
- B. The rule is true
- C. The rule is coincidental
- D. Leverage of the rules is low
Answer: C
NEW QUESTION # 130
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?
Response:
- A. Report back to the business owner that the current data model does not support the business question.
- B. Disregard revenue as the key reason in the pricing model and create a daily model based on pricing and transactions only.
- C. Aggregate all data to the monthly level in order to create a monthly revenue model.
- D. Interpolate a daily model for revenue from the monthly revenue data.
Answer: A
NEW QUESTION # 131
Which participant in a data analytics project is typically responsible for assessing the validity of the model?
Response:
- A. Project manager
- B. Data scientist
- C. Project sponsor
- D. Business user
Answer: B
NEW QUESTION # 132
You are given 10, 000, 000 user profile pages of an online dating site in XML files, and they are stored in HDFS. You are assigned to divide the users into groups based on the content of their profiles. You have been instructed to try K-means clustering on this dat a.
How should you proceed?
Response:
- A. Partition the data by XML file size, and run K-means clustering in each partition.
- B. Divide the data into sets of 1, 000 user profiles, and run K-means clustering in RHadoop iteratively.
- C. Run a Naive Bayes classification as a pre-processing step in HDFS.
- D. Run MapReduce to transform the data, and find relevant key value pairs.
Answer: D
NEW QUESTION # 133
A study was run to identify general dietary patterns among the residents of a small town. Twelve thousand people were surveyed and the data was subject to K-means clustering. In one of the iterations, there were six clusters formed with 38, 1560, 1799, 2560, 2893, and 3150 respondents.
What should be the next step in identifying optimal clusters?
Response:
- A. Multiply each variable by its standard deviation
- B. Increase the number of clusters to see if the last cluster gets combined
- C. Remove 38 respondents because the 5 clusters seem to be well distributed
- D. Decrease the number of clusters to see if the last cluster gets combined
Answer: D
NEW QUESTION # 134
What is the output format from the Map function of MapReduce?
Response:
- A. Unique key record and separate records of all possible values
- B. Binary representation of keys concatenated with structured data
- C. Compressed index
- D. Key-value pairs
Answer: D
NEW QUESTION # 135
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