[Mar 24, 2025] Get New DEA-7TT2 Practice Test Questions Answers
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The DEA-7TT2 exam covers a wide range of topics that are essential for professionals in the data science and big data analytics field. Some of the topics that are tested in DEA-7TT2 exam include statistics, data visualization, machine learning algorithms, Hadoop, R and Python programming, and data mining techniques. DEA-7TT2 exam also focuses on best practices for data governance, data security, and regulatory compliance.
NEW QUESTION # 136
You have numeric data for more than 500 observations. You are interested in identifying linear relationships among these numeric variables. Which R function should you employ to get the best visualization?
Response:
- A. plot(density())
- B. pairs()
- C. lm()
- D. rug()
Answer: B
NEW QUESTION # 137
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. Use the rug() function to add elements to the plot
- B. Recreate the plot using the barplot() function
- C. Reduce the sample size of the purchase amount data used to create the plot
- D. Recreate the density plot using a log normal distribution of the purchase amount data
Answer: D
NEW QUESTION # 138
Which activity is performed in the Operationalize phase of the data analytics lifecycle?
Response:
- A. Try different analytical techniques
- B. Try different variables
- C. Transform existing variables
- D. Assess the benefits
Answer: D
NEW QUESTION # 139
Before building an ARMA model, how can you determine if the time series is weakly stationary?
Response:
- A. Constant variance around a constant mean is apparent
- B. Series is normally distributed
- C. Mean of the series is close to 0
- D. No trend component is apparent
Answer: A
NEW QUESTION # 140
You are having a discussion with a business colleague. The colleague mentions that they want to perform K-means clustering on text file data stored in HDFS. Which tool should be recommended?
Response:
- A. Mahout
- B. Sqoop
- C. HBase
- D. Scribe
Answer: A
NEW QUESTION # 141
You are building a logistic regression model to predict whether a tax filer will be audited within the next two years. Your training set population is 1000 filers. The audit rate in your training data is 4.2%.
What is the sum of the probabilities that the model assigns to all the filers in your training set that have been audited?
Response:
- A. 0.042
- B. 4.2
- C. 0.42
- D. 42.0
Answer: D
NEW QUESTION # 142
You submit a MapReduce job to a Hadoop cluster. Although the job was successfully submitted, you notice that it is not completing. What should be done?
Response:
- A. Ensure that a DataNode is running
- B. Ensure that the JobTracker is running
- C. Ensure that the NameNode is running
- D. Ensure that the TaskTracker is running
Answer: D
NEW QUESTION # 143
How is dimensionality defined in a "bag of words" document representation?
Response:
- A. Total number of words in the document
- B. Average number of words per sentence in the document
- C. Number of unique terms in the document
- D. Frequency of repeated words in the document
Answer: C
NEW QUESTION # 144
You are provided with the following list. Which window function is missing?
cume_dist()
dense_rank()
rank()
percent_rank()
first_value()
last_value()
lag()
lead()
ntile()
Response:
- A. row_number()
- B. cumulative_sum()
- C. row_preceding()
- D. median()
Answer: A
NEW QUESTION # 145
Which word or phrase completes the statement? Business Intelligence is to monitoring trends as Data Science is to ________ trends.
Response:
- A. Driving
- B. Predicting
- C. Optimizing
- D. Discarding
Answer: B
NEW QUESTION # 146 
The graph represents the plot of WSS as a function of K for a K-means clustering analysis you performed. Which point in the graph represents the most optimal value of K?
Response:
- A. D
- B. C
- C. A
- D. B
Answer: B
NEW QUESTION # 147
In time series analysis, what is an indication of a stationary sequence?
Response:
- A. Decreasing trend
- B. Increasing trend
- C. Constant variance
- D. Seasonality
Answer: C
NEW QUESTION # 148
What is the optimal usage scenario for the Hadoop Distributed File System?
Response:
- A. Large files and low latency
- B. Large files and high throughput
- C. Small files and high throughput
- D. Small files and low latency
Answer: B
NEW QUESTION # 149
You are using MADlib for Linear Regression analysis. Which value does the statement return?
SELECT (linregr(depvar, indepvar)).r2 FROM zeta1;
Response:
- A. Standard error
- B. Goodness of fit
- C. Coefficients
- D. P-value
Answer: B
NEW QUESTION # 150
Consider the example of an analysis for fraud detection on credit card usage. You will need to ensure higher-risk transactions that may indicate fraudulent credit card activity are retained in your data for analysis, and not dropped as outliers during pre-processing.
What will be your approach for loading data into the analytical sandbox for this analysis?
Response:
- A. OLTP
- B. EDW
- C. ELT
- D. ETL
Answer: C
NEW QUESTION # 151
In which phase of the analytic lifecycle would you expect to spend most of the project time?
Response:
- A. Data preparation
- B. Discovery
- C. Communicate Results
- D. Operationalize
Answer: A
NEW QUESTION # 152
For which class of problem is Map Reduce most suitable?
Response:
- A. Non-overlapping queries
- B. Embarrassingly parallel
- C. Simple marginalization tasks
- D. Minimal result data
Answer: B
NEW QUESTION # 153
Refer to the exhibit.
You have scored your Naive bayesian classifier model on a hold out test data for cross validation and determined the way the samples scored and tabluated them as shown in the exhibit.
What are the Precision and Recall rate of the model?
Response:
- A. Precision =262/288 Recall = 262/277
- B. Precision = 288/262 Recall = 277/262
- C. Precision = 277/262 Recall = 288/262
- D. Precision = 262/277 Recall = 262/288
Answer: D
NEW QUESTION # 154
After which phase of the data analytics lifecycle should you determine if the model is robust enough?
Response:
- A. Discovery
- B. Data preparation
- C. Operationalize
- D. Model building
Answer: D
NEW QUESTION # 155
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EMC DEA-7TT2: Associate - Data Science and Big Data Analytics v2 certification exam is a valuable credential for professionals who want to demonstrate their proficiency in the field of data science and big data analytics. It is a comprehensive exam that covers a wide range of topics and requires a deep understanding of key concepts. By passing DEA-7TT2 exam, candidates can enhance their career prospects and demonstrate their expertise to potential employers.
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