최신EMC Dell Data Science Foundations - D-DS-FN-23무료샘플문제
문제1
You have just completed the Discovery phase of a project and finished interviewing the main stakeholders. You have identified the necessary data feeds and are now beginning to set up the analytic sandbox.
What is the next step?
You have just completed the Discovery phase of a project and finished interviewing the main stakeholders. You have identified the necessary data feeds and are now beginning to set up the analytic sandbox.
What is the next step?
정답: B
문제2
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?
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?
정답: C
문제3
How does Pig's use of a schema differ from that of a traditional RDBMS?
How does Pig's use of a schema differ from that of a traditional RDBMS?
정답: D
문제4
In ANOVA, what is the null hypothesis for k population means?
In ANOVA, what is the null hypothesis for k population means?
정답: C
설명: (ExamPassdump 회원만 볼 수 있음)
문제5
In association rules, given items X and Y, what does lift measure?
In association rules, given items X and Y, what does lift measure?
정답: B
설명: (ExamPassdump 회원만 볼 수 있음)
문제6
Which word or phrase completes the statement? Business Intelligence is to monitoring trends as Data Science is to ________ trends.
Which word or phrase completes the statement? Business Intelligence is to monitoring trends as Data Science is to ________ trends.
정답: A
문제7
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 tabulated them as shown in the exhibit.
What are the the False Positive Rate (FPR) and the False Negative Rate (FNR) of the model?
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 tabulated them as shown in the exhibit.
What are the the False Positive Rate (FPR) and the False Negative Rate (FNR) of the model?
정답: C
문제8
The graphic shows the values for the input Boolean attributes "A", "B", and "C". In addition, the graphic shows the values for the output attribute "class".
Which Decision Tree is valid for the data?
The graphic shows the values for the input Boolean attributes "A", "B", and "C". In addition, the graphic shows the values for the output attribute "class".
Which Decision Tree is valid for the data?
정답: A
문제9
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?
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?
정답: B
문제10
When should you consider using multinomial logistic regression over binary logistic regression?
When should you consider using multinomial logistic regression over binary logistic regression?
정답: D
설명: (ExamPassdump 회원만 볼 수 있음)
문제11
Refer to the exhibit.
You have run a linear regression model against your data, and have plotted true outcome versus predicted outcome. The R-squared of your model is 0.75.
What is your assessment of the model?
Refer to the exhibit.
You have run a linear regression model against your data, and have plotted true outcome versus predicted outcome. The R-squared of your model is 0.75.
What is your assessment of the model?
정답: A
문제12
What does "MAD" in MADlib stand for?
What does "MAD" in MADlib stand for?
정답: D
설명: (ExamPassdump 회원만 볼 수 있음)