Latest Feb 18, 2025 DEA-7TT2 Brain Dump: A Study Guide with Tips & Tricks for passing Exam
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EMC DEA-7TT2 (Associate - Data Science and Big Data Analytics v2) certification exam is designed to validate the skills and knowledge of IT professionals who are interested in pursuing a career in data science and big data analytics. Associate - Data Science and Big Data Analytics v2 Exam certification is offered by Dell EMC, a leading provider of IT solutions and services. DEA-7TT2 exam covers a wide range of topics related to data science and big data analytics, including data preparation, data exploration, data visualization, statistical analysis, machine learning, and more.
EMC DEA-7TT2 (Associate - Data Science and Big Data Analytics v2) Exam is designed to test the knowledge and skills required to work with big data analytics and data science technologies. DEA-7TT2 exam focuses on various aspects of big data analytics, including data mining, machine learning, statistical analysis, and data visualization. It also covers the use of big data tools such as Hadoop, Spark, and NoSQL databases.
NEW QUESTION # 76
When is a Naive Bayesian Classifier model for classification preferred versus a Logistic Regression model?
Response:
- A. When some of the input variables might be correlated
- B. When all input variables are numerical
- C. When using several categorical input variables with over 1000 possible values each
- D. When an estimate of the probability of an outcome is needed, not just which class it is in
Answer: C
NEW QUESTION # 77
Refer to the exhibit, which shows pairwise counts for items purchased together.
Consider the following association rules:
- Milk -> Eggs
- Eggs -> Milk
- Bread -> Milk
- Milk -> Bread
Which rule has a confidence higher than 70%?
Response:
- A. Milk -> Eggs
- B. Bread -> Milk
- C. Eggs -> Milk
- D. Milk -> Bread
Answer: C
NEW QUESTION # 78
In which lifecycle stage are test and training data sets created?
Response:
- A. Model planning
- B. Discovery
- C. Data preparation
- D. Model building
Answer: D
NEW QUESTION # 79
Which chart type is intended to display correlations between sets of numeric data?
Response:
- A. Histogram
- B. Scatterplot
- C. Pie chart
- D. Line Chart
Answer: B
NEW QUESTION # 80
You are using MADlib for Linear Regression analysis. Which value does the statement return?
SELECT (linregr(depvar, indepvar)).r2 FROM zeta1;
Response:
- A. Coefficients
- B. Goodness of fit
- C. Standard error
- D. P-value
Answer: B
NEW QUESTION # 81
Refer to the exhibit.
You have created a density plot of purchase amounts from a retail website as shown. What should you do next?
Response:
- A. Recreate the plot using the barplot() function
- B. Use the rug() function to add elements to the plot
- C. Recreate the density plot using a log normal distribution of the purchase amount data
- D. Reduce the sample size of the purchase amount data used to create the plot
Answer: C
NEW QUESTION # 82
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. Logistic Regression
- B. Naive Bayesian
- C. K Means Clustering
- D. Association Rules
Answer: C
NEW QUESTION # 83
Which characteristic applies mainly to Data Science as opposed to Business Intelligence?
Response:
- A. Data dashboards
- B. Focus on structured data
- C. Advanced analytical methods
- D. Robust reporting
Answer: C
NEW QUESTION # 84
You have two tables of customers in your database. Customers in cust_table_1 were sent an e-mail promotion last year, and customers in cust_table_2 received a newsletter last year.
Customers can only be entered in once per table. You want to create a table that includes all customers, and any of the communications they received last year.
Which type of join would you use for this table?
Response:
- A. Cross join
- B. Inner join
- C. Left outer join
- D. Full outer join
Answer: D
NEW QUESTION # 85
In which lifecycle stage are appropriate analytical techniques determined?
Response:
- A. Model planning
- B. Discovery
- C. Data preparation
- D. Model building
Answer: A
NEW QUESTION # 86
Refer to the exhibit.
What is the approximate R-squared value for a linear regression model fitted to the data associated with this scatterplot?
Response:
- A. 0
- B. 0.96
- C. 1
- D. 0.01
Answer: D
NEW QUESTION # 87
In logistic regression modeling, what is the commonly assigned probability threshold used to assign a class label?
Response:
- A. 0.25
- B. 0.1
- C. 0.9
- D. 0.5
Answer: D
NEW QUESTION # 88
Which word or phrase completes the statement; "A theater actor is to 'artistic and expressive' as a data scientist is to."?
Response:
- A. Independent and intelligent
- B. Introverted and technical
- C. Communicative and collaborative
- D. Logical and steadfast
Answer: C
NEW QUESTION # 89
You have been assigned to do a study of the daily revenue effect of a pricing model of online transactions. You have tested all the theoretical models in the previous model planning stage, and all tests have yielded statistically insignificant results.
What is your next step?
Response:
- A. Move forward on the model with the highest significance scores relative to the others.
- B. Run all the models again against a larger sample, leveraging more historical data.
- C. Report that the results are insignificant, and reevaluate the original business question.
- D. Modify samples used by the models and iterate until a significant result occurs.
Answer: C
NEW QUESTION # 90
To ensure a successful analytic project, which key role can provide business domain expertise with a deep understanding of the data and key performance indicators?
Response:
- A. Business Intelligence Analyst
- B. Project Manager
- C. Business User
- D. Project Sponsor
Answer: A
NEW QUESTION # 91 
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?
Response:
- A.
- B.
- C.
- D.
Answer: A
NEW QUESTION # 92
When would you prefer a Naive Bayes model to a logistic regression model for classification?
Response:
- A. When some of the input variables might be correlated.
- B. When all the input variables are numerical.
- C. When you need to estimate the probability of an outcome, not just which class it is in.
- D. When you are using several categorical input variables with over 1000 possible values each.
Answer: D
NEW QUESTION # 93
Refer to 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. You cannot request additional data.
What is a way that you could try to increase the R2 of the model without artificially inflating it?
Response:
- A. Create clusters based on the data and use them as model inputs
- B. Force all 15 variables into the model as independent variables
- C. Create interaction variables based only on variables A, B, and C
- D. Break variables A, B, and C into their own univariate models
Answer: A
NEW QUESTION # 94
You are studying the behavior of a population, and you are provided with multidimensional data at the individual level. You have identified four specific individuals who are valuable to your study, and would like to find all users who are most similar to each individual.
Which algorithm is the most appropriate for this study?
Response:
- A. K-means clustering
- B. Decision trees
- C. Association rules
- D. Linear regression
Answer: A
NEW QUESTION # 95
In time series analysis, what is an indication of a stationary sequence?
Response:
- A. Decreasing trend
- B. Seasonality
- C. Constant variance
- D. Increasing trend
Answer: C
NEW QUESTION # 96
You have used k-means clustering to classify behavior of 100, 000 customers for a retail store. You decide to use household income, age, gender and yearly purchase amount as measures. You have chosen to use 8 clusters and notice that 2 clusters only have 3 customers assigned.
What should you do?
Response:
- A. Decrease the number of measures used
- B. Increase the number of clusters
- C. Identify additional measures to add to the analysis
- D. Decrease the number of clusters
Answer: D
NEW QUESTION # 97
What is a consideration when building decision trees?
Response:
- A. Cannot handle variables that affect the outcome in a discontinuous way
- B. Short decision trees are likely subject to overfit
- C. Correlated variables can cause double-counting
- D. Tree structure is sensitive to small changes in the training data
Answer: D
NEW QUESTION # 98
Refer to the Exhibit.
In the Exhibit, the table shows the values for the input Boolean attributes "A", "B", and "C". It also shows the values for the output attribute "class". Which decision tree is valid for the data?
Response:
- A. Tree D
- B. Tree A
- C. Tree C
- D. Tree B
Answer: D
NEW QUESTION # 99
What describes a true property of Logistic Regression method?
Response:
- A. It works well with variables that affect the outcome in a discontinuous way.
- B. It is robust with redundant variables and correlated variables.
- C. It works well with discrete variables that have many distinct values.
- D. It handles missing values well.
Answer: B
NEW QUESTION # 100
The web analytics team uses Hadoop to process access logs. They now want to correlate this data with structured user data residing in their massively parallel database. Which tool should they use to export the structured data from Hadoop?
Response:
- A. Pig
- B. Sqoop
- C. Scribe
- D. Chukwa
Answer: B
NEW QUESTION # 101
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