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EMC DEA-7TT2: Associate - Data Science and Big Data Analytics v2 exam is an excellent certification for individuals who want to demonstrate their skills in the field of data science and big data analytics. Associate - Data Science and Big Data Analytics v2 Exam certification is beneficial for professionals who work in the IT industry and want to enhance their career prospects. DEA-7TT2 exam tests the candidate's knowledge and skills in various areas of big data technologies, making them more employable and valuable to organizations.
EMC DEA-7TT2 (Associate - Data Science and Big Data Analytics v2) Certification Exam is an associate-level data science and big data analytics certification offered by Dell EMC. Associate - Data Science and Big Data Analytics v2 Exam certification is designed for professionals who work in big data analytics and want to demonstrate their ability to use data analysis tools to solve complex problems.
NEW QUESTION # 73
The web analytics team uses Hadoop to process access logs. They now want to correlate this data with structured user data residing in a production single-instance JDBC database. They collaborate with the production team to import the data into Hadoop.
Which tool should they use?
Response:
- A. Sqoop
- B. Chukwa
- C. Pig
- D. Scribe
Answer: A
NEW QUESTION # 74
Refer to the exhibit.
You are using K-means clustering to classify customer behavior for a large retailer. You need to determine the optimum number of customer groups. You plot the within-sum-of- squares (wss) data as shown in the exhibit.
How many customer groups should you specify?
Response:
- A. 0
- B. 1
- C. 2
- D. 3
Answer: D
NEW QUESTION # 75
What is a motivation for using a data analytics lifecycle?
Response:
- A. Explores all possible approaches
- B. Creates a repeatable process
- C. Limits the amount of data needed
- D. Guarantees a successful project
Answer: B
NEW QUESTION # 76
What describes the use of UNION clause in a SQL statement?
Response:
- A. Operates on tables and potentially decreases the number of columns
- B. Operates on queries and potentially increases the number of rows
- C. Operates on queries and potentially decreases the number of rows
- D. Operates on both tables and queries and potentially increases both the number of rows and columns
Answer: B
NEW QUESTION # 77
In the Map Reduce framework, what is the purpose of the Map Function?
Response:
- A. It sorts the results of the Reduce function
- B. It processes the input and generates key-value pairs
- C. It breaks the input into smaller components and distributes to other nodes in the cluster
- D. It collects the output of the Reduce function
Answer: B
NEW QUESTION # 78
In R, functions like plot() and hist() are known as what?
Response:
- A. generic methods
- B. generic functions
- C. virtual methods
- D. virtual functions
Answer: C
NEW QUESTION # 79
Consider a scale that has five (5) values that range from "not important" to "very important". Which data classification best describes this data?
Response:
- A. Ordinal
- B. Nominal
- C. Ratio
- D. Real
Answer: A
NEW QUESTION # 80
Refer to the exhibit.
Which type of data issue would you suspect based on the exhibit?
Response:
- A. "Saturated" data, indicating potential issues with data definitions
- B. The exhibit does not raise any obvious concerns with the data.
- C. Mis-scaled data, indicating potential issues with data entry
- D. Incomplete data, indicating potential issues with data transmission
Answer: A
NEW QUESTION # 81
Refer to the 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.
Which interpretation is supported by the analysis?
Response:
- A. Due to the R2 of 0.10, the model is not valid - a different analytical model should be attempted
- B. Variables A, B, and C are significantly impacting sales, but are not effectively estimating sales
- C. Variables A, B, and C are significantly impacting sales and are effectively estimating sales
- D. Due to the R2 of 0.10, the model is not valid - the linear regression should be rerun with all 15 variables forced into the model to increase the R2
Answer: B
NEW QUESTION # 82
Which Hadoop service is responsible for requesting resources for, and monitoring the completion of, MapReduce processes?
Response:
- A. Application Master
- B. NameNode
- C. DataNode
- D. Application Manager
Answer: A
NEW QUESTION # 83
If R factors are categorical variables, which data classification level are they most closely related?
Response:
- A. Ordinal
- B. Ratio
- C. Interval
- D. Nominal
Answer: D
NEW QUESTION # 84
What is the output of the K-means clustering algorithm?
Response:
- A. Center of each discovered cluster and mapping of each record to a cluster
- B. Intercept and coefficients for each input variable in the dataset
- C. Two dimensional representation of the data and the clusters
- D. Centroid positioning and entropy of each record in each cluster
Answer: A
NEW QUESTION # 85
Which characteristic applies only to Business Intelligence as opposed to Data Science?
Response:
- A. Uses predictive modeling techniques
- B. Uses only structured data
- C. Uses large data sets
- D. Supports solving "what if" scenarios
Answer: B
NEW QUESTION # 86
Consider a database with 4 transactions:
Transaction 1: {cheese, bread, milk}
Transaction 2: {soda, bread, milk}
Transaction 3: {cheese, bread}
Transaction 4: {cheese, soda, juice}
You decide to run the association rules algorithm where minimum support is 50%. Which rule has a confidence at least 50%?
Response:
- A. {cheese} => {bread}
- B. {juice} => {cheese}
- C. {soda} => {milk}
- D. {milk} => {soda}
Answer: A
NEW QUESTION # 87
How does an HBase data structure differ from an ANSI standard relational database management system (RDBMS)?
Response:
- A. HBase is challenged by sparse data;ANSI standard RDBMS handles missing values well by using null fields
- B. HBase provides a wider variety of predefined data types for data;ANSI standard RDBMS provides less variety
- C. HBase has strongly defined data columns;ANSI standard RDBMS is more flexible with column definitions
- D. HBase supports a single table with no implicit join ability to other tables;ANSI standard RDBMS supports multiple tables with join ability
Answer: D
NEW QUESTION # 88
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. Reduce the sample size of the purchase amount data used to create the plot
- B. Use the rug() function to add elements to the plot
- C. Recreate the plot using the barplot() function
- D. Recreate the density plot using a log normal distribution of the purchase amount data
Answer: D
NEW QUESTION # 89
In data visualization, which type of chart is recommended to represent frequency data?
Response:
- A. Scatterplot
- B. Histogram
- C. Q-Q chart
- D. Line chart
Answer: B
NEW QUESTION # 90
Which activity is performed in the Operationalize phase of the data analytics lifecycle?
Response:
- A. Try different analytical techniques
- B. Transform existing variables
- C. Try different variables
- D. Assess the benefits
Answer: D
NEW QUESTION # 91
You have created a scatterplot of two continuous variables for 2000 records. You want to add a line to the scatterplot to check linearity of the dat a. Which function would best address this need?
Response:
- A. hist()
- B. glm()
- C. abline()
- D. lm()
Answer: C
NEW QUESTION # 92
Consider these itemsets:
(hat, scarf, coat)
(hat, scarf, coat, gloves)
(hat, scarf, gloves)
(hat, gloves)
(scarf, coat, gloves)
What is the confidence of the rule (hat, scarf) => gloves?
Response:
- A. 60%
- B. 66%
- C. 40%
- D. 50%
Answer: B
NEW QUESTION # 93
......
EMC DEA-7TT2 Exam is a comprehensive exam that covers a wide range of topics related to big data analytics and data science. DEA-7TT2 exam consists of multiple-choice questions and is conducted online. It is a vendor-neutral exam, which means that it is not specific to any particular technology or platform. DEA-7TT2 exam is a great way for professionals to demonstrate their expertise in big data analytics and data science and to gain recognition in the industry.
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