Latest D-DS-FN-23 Study Guides 2024 - With Test Engine PDF [Q16-Q31]

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Latest D-DS-FN-23 Study Guides 2024 - With Test Engine PDF

Get New D-DS-FN-23 Practice Test Questions Answers

NEW QUESTION # 16
Your colleague, who is new to Hadoop, approaches you with a question. They want to know how best to access their data. This colleague has previously worked extensively with SQL and databases.
Which query interface would you recommend?

  • A. Hive
  • B. Howl
  • C. Pig
  • D. HBase

Answer: A


NEW QUESTION # 17
In addition to quantitative and technical skills, what is a key aspect of the profile of a data scientist?

  • A. Curious and creative
  • B. Project management and administrative skills
  • C. Accounting and regulatory skills
  • D. Proficient in Microsoft Project and Excel

Answer: A


NEW QUESTION # 18
Adisk drive manufacturer has a defect rate of less than 1.5% with 98% confidence. Aquality assurance team samples 1000 disk drives and finds 14 defective units.
Which action should the team recommend?

  • A. A larger sample size should be taken to determine if the plant is operating correctly
  • B. There is a flaw in the quality assurance process and the sample should be repeated
  • C. The manufacturing process is functioning properly and no further action is required
  • D. A smaller sample size should be taken to determine if the plant is operating correctly

Answer: C


NEW QUESTION # 19
You are testing two new weight-gain formulas for puppies. The test gives the results: Control group: 1% weight gain Formula A. 3% weight gain Formula B. 4% weight gain A one-way ANOVA returns a p-value = 0.027
What can you conclude?

  • A. Formula A and Formula B are both effective at promoting weight gain.
  • B. Formula B is more effective at promoting weight gain than Formula A.
  • C. Formula A and Formula B are about equally effective at promoting weight gain.
  • D. Either Formula A or Formula B is effective at promoting weight gain.

Answer: D


NEW QUESTION # 20
Refer to the exhibit.

In the exhibit, the x-axis represents the derived probability of a borrower defaulting on a loan. Also in the exhibit, the pink represents borrowers that are known to have not defaulted on their loan, and the blue represents borrowers that are known to have defaulted on their loan.
Which analytical method could produce the probabilities needed to build this exhibit?

  • A. Linear Regression
  • B. Discriminant Analysis
  • C. Association Rules
  • D. Logistic Regression

Answer: D


NEW QUESTION # 21
In time series analysis, what function is examined to identify the order of the moving average component of an ARIMA model?

  • A. Geometric mean function
  • B. Autocorrelation function
  • C. Arithmetic mean function
  • D. Exponential function

Answer: B


NEW QUESTION # 22
Refer to the exhibit.

You are using k-means clustering to discover groupings within a data set. You plot within- sum-of-squares (wss) of multiple cluster sizes.
Based on the exhibit, how many clusters should you use in your analysis?

  • A. 0
  • B. 1
  • C. 2
  • D. 3

Answer: C


NEW QUESTION # 23
You have been assigned to run a linear regression model for each of 5, 000 distinct districts, and all the data is currently stored in a PostgreSQL database.
Which tool/library would you use to produce these models with the least effort?

  • A. R
  • B. MADlib
  • C. Mahout
  • D. HBase

Answer: B


NEW QUESTION # 24
What is holdout data?

  • A. a subset of the provided data set selected at random and used to initially construct the model
  • B. a subset of the provided data set that is removed by the data scientist because it contains outliers
  • C. a subset of the provided data set that is removed by the data scientist because it contains data errors
  • D. a subset of the provided data set selected at random and used to validate the model

Answer: D


NEW QUESTION # 25
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?

  • A. Determine the optimal number of clusters by plotting the Within Sum of Squares (WSS) values as a function of K
  • B. Remove 38 respondents because the 5 clusters seem to be well distributed
  • C. Multiply each variable by its standard deviation
  • D. Add more categorical variables to the dataset to maximize the Within Sum of Squares (WSS) value for K=6

Answer: A


NEW QUESTION # 26
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?

  • A. Chukwa
  • B. Scribe
  • C. Pig
  • D. Sqoop

Answer: D


NEW QUESTION # 27
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 (gloves -> hat)?

  • A. 80%
  • B. 60%
  • C. 66%
  • D. 75%

Answer: D


NEW QUESTION # 28
Which word or phrase completes the statement; "Adata scientist would consider a RDBMS is to a table as R is to a_____."?

  • A. List
  • B. Array
  • C. Data frame
  • D. Matrix

Answer: C


NEW QUESTION # 29
In addition to less data movement and the ability to use larger datasets in calculations, what is a benefit of analytical calculations in a database?

  • A. quicker time to insight
  • B. more efficient handling of categorical values
  • C. full use of data aggregation functionality
  • D. improved connections between disparate data sources

Answer: A


NEW QUESTION # 30
Your organization has a website where visitors randomly receive one of two coupons. It is also possible that visitors to the website will not receive a coupon.
You have been asked to determine if offering a coupon to visitors to your website has any impact on their purchase decision.
Which analysis method should you use?

  • A. K-means clustering
  • B. Student T-test
  • C. One-way ANOVA
  • D. Association rules

Answer: C


NEW QUESTION # 31
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EMC D-DS-FN-23 DUMPS WITH REAL EXAM QUESTIONS: https://drive.google.com/open?id=10wDwt5zgQO9QyJgCmX-TYqOH9BSoKOnf

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