All4Certs Exam Archive [Latest Version] Easily Pass A00-240 Exam With CertBus Updated SASInstitute A00-240 Preparation Materials

[Latest Version] Easily Pass A00-240 Exam With CertBus Updated SASInstitute A00-240 Preparation Materials

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Question 1:

When mean imputation is performed on data after the data is partitioned for honest assessment, what is the most appropriate method for handling the mean imputation?

A. The sample means from the validation data set are applied to the training and test data sets.

B. The sample means from the training data set are applied to the validation and test data sets.

C. The sample means from the test data set are applied to the training and validation data sets.

D. The sample means from each partition of the data are applied to their own partition.

Correct Answer: B


Question 2:

Refer to the exhibit:

The plots represent two models, A and B, being fit to the same two data sets, training and validation.

Model A is 90.5% accurate at distinguishing blue from red on the training data and 75.5% accurate at doing the same on validation data. Model B is 83% accurate at distinguishing blue from red on the training data and 78.3% accurate at

doing the same on the validation data.

Which of the two models should be selected and why?

A. Model A. It is more complex with a higher accuracy than model B on training data.

B. Model A. It performs better on the boundary for the training data.

C. Model B. It is more complex with a higher accuracy than model A on validation data.

D. Model B. It is simpler with a higher accuracy than model A on validation data.

Correct Answer: D


Question 3:

Assume a $10 cost for soliciting a non-responder and a $200 profit for soliciting a responder. The logistic regression model gives a probability score named P_R on a SAS data set called VALID. The VALID data set contains the responder variable Pinch, a 1/0 variable coded as 1 for responder. Customers will be solicited when their probability score is more than 0.05.

Which SAS program computes the profit for each customer in the data set VALID?

A. Option A

B. Option B

C. Option C

D. Option D

Correct Answer: A


Question 4:

Refer to the exhibit:

Based upon the comparative ROC plot for two competing models, which is the champion model and why?

A. Candidate 1, because the area outside the curve is greater

B. Candidate 2, because the area under the curve is greater

C. Candidate 1, because it is closer to the diagonal reference curve

D. Candidate 2, because it shows less over fit than Candidate 1

Correct Answer: B


Question 5:

A marketing campaign will send brochures describing an expensive product to a set of customers. The cost for mailing and production per customer is $50. The company makes $500 revenue for each sale. What is the profit matrix for a typical person in the population?

A. Option A

B. Option B

C. Option C

D. Option D

Correct Answer: C


A00-240 VCE DumpsA00-240 Practice TestA00-240 Exam Questions

Question 6:

This question will ask you to provide missing code segments.

A logistic regression model was fit on a data set where 40% of the outcomes were events (TARGET=1) and 60% were non-events (TARGET=0). The analyst knows that the population where the model will be deployed has 5% events and 95% non-events. The analyst also knows that the company\’s profit margin for correctly targeted events is nine times higher than the company\’s loss for incorrectly targeted non-event.

Given the following SAS program:

What X and Y values should be added to the program to correctly score the data?

A. X=40, Y=10

B. X=.05, Y=10

C. X=.05, Y=.40

D. X=.10.Y=05

Correct Answer: B


Question 7:

An analyst has a sufficient volume of data to perform a 3-way partition of the data into training, validation, and test sets to perform honest assessment during the model building process.

What is the purpose of the test data set?

A. To provide a unbiased measure of assessment for the final model.

B. To compare models and select and fine-tune the final model.

C. To reduce total sample size to make computations more efficient.

D. To build the predictive models.

Correct Answer: A


Question 8:

The total modeling data has been split into training, validation, and test data. What is the best data to use for model assessment?

A. Training data

B. Total data

C. Test data

D. Validation data

Correct Answer: D


Question 9:

What is a drawback to performing data cleansing (imputation, transformations, etc.) on raw data prior to partitioning the data for honest assessment as opposed to performing the data cleansing after partitioning the data?

A. It violates assumptions of the model.

B. It requires extra computational effort and time.

C. It omits the training (and test) data sets from the benefits of the cleansing methods.

D. There is no ability to compare the effectiveness of different cleansing methods.

Correct Answer: D


Question 10:

A company has branch offices in eight regions. Customers within each region are classified as either “High Value” or “Medium Value” and are coded using the variable name VALUE. In the last year, the total amount of purchases per customer is used as the response variable.

Suppose there is a significant interaction between REGION and VALUE. What can you conclude?

A. More high value customers are found in some regions than others.

B. The difference between average purchases for medium and high value customers depends on the region.

C. Regions with higher average purchases have more high value customers.

D. Regions with higher average purchases have more medium value customers.

Correct Answer: B


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