EMC DEA-7TT2 LATEST TEST DUMPS - DEA-7TT2 RELIABLE TEST PRICE

EMC DEA-7TT2 Latest Test Dumps - DEA-7TT2 Reliable Test Price

EMC DEA-7TT2 Latest Test Dumps - DEA-7TT2 Reliable Test Price

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Tags: DEA-7TT2 Latest Test Dumps, DEA-7TT2 Reliable Test Price, Study DEA-7TT2 Material, DEA-7TT2 Latest Mock Test, Reliable DEA-7TT2 Test Notes

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The EMC DEA-7TT2 exam emphasizes the use of big data analytics tools like Hadoop and MapReduce and requires candidates to display proficiency in data analysis, data management, and business analytics. It is recommended that candidates have at least 6-12 months of experience working in the field of big data analytics before attempting DEA-7TT2 Exam.

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EMC DEA-7TT2 Exam | DEA-7TT2 Latest Test Dumps - Quality and Value Guaranteed of DEA-7TT2 Reliable Test Price

These DEA-7TT2 exam question formats contain real, valid, and updated EMC DEA-7TT2 exam questions that will assist you in EMC Associate - Data Science and Big Data Analytics v2 Exam exam preparation and enable you to pass the challenging EMC DEA-7TT2 Exam with good scores. The EMC DEA-7TT2 questions are prepared by highly experienced professionals and, thus, are kept to the point and concise.

EMC Associate - Data Science and Big Data Analytics v2 Exam Sample Questions (Q176-Q181):

NEW QUESTION # 176
Which word or phrase completes the statement? Data-ink ratio is to data visualization as _________.
Response:

  • A. Data scientist is to big data
  • B. Seasonality is to ARIMA
  • C. K-means is to Naive Bayes
  • D. Confusion matrix is to classifier

Answer: D


NEW QUESTION # 177
A time series of monthly sales indicates a periodic pattern, and the value reaches the peak every December. Which statistic needs to be subtracted from the actual value to adjust for this seasonal effect?
Response:

  • A. Mean value of sales over the whole time series
  • B. Least-squares-fit line of the series
  • C. Mean value of sales within each year
  • D. Average value for each month over a few years

Answer: D


NEW QUESTION # 178
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 naive Bayes classification model.
In the model, there are two class labels, renewal and non-renewal, that are assigned to each customer based on their attributes. A subset 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 naive Bayesian model for the customer described above?
Response:

  • A. 0.0004
  • B. 0.0040
  • C. 0.0002
  • D. 0.0020

Answer: A


NEW QUESTION # 179
In association rules, given X -> Y, what is confidence?
Response:

  • A. Percentage of transactions that contain the itemset
  • B. Percentage of transactions with X that also contain Y
  • C. Difference in the probability of X and Y appearing together compared with expectations if they were statistically independent
  • D. How many times more often X and Y occur together than expected if they were statistically independent, expressed as a ratio

Answer: B


NEW QUESTION # 180
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 # 181
......

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