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SASInstitute A00-215 Exam is a comprehensive exam that covers a wide range of topics related to SAS programming. A00-215 exam consists of 65 multiple-choice questions and has a time limit of 105 minutes. A00-215 exam is available in English and Japanese languages and can be taken at any authorized testing center.
SASInstitute A00-215 certification is recognized globally and is highly valued by employers in the data analytics industry. SAS Certified Associate: Programming Fundamentals Using SAS 9.4 certification demonstrates that the candidate has a solid foundation in SAS programming and is capable of writing efficient and effective SAS programs for data analysis and management. SAS Certified Associate: Programming Fundamentals Using SAS 9.4 certification not only enhances the candidate's skills but also provides a competitive advantage in the job market.
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SASInstitute A00-215 Exam is intended for individuals who want to validate their SAS programming skills and demonstrate their proficiency in using SAS software for data analysis. A00-215 exam covers a wide range of topics, including SAS programming fundamentals, data manipulation, data analysis, and reporting. SAS Certified Associate: Programming Fundamentals Using SAS 9.4 certification is ideal for individuals who are new to SAS programming or have limited experience in using SAS software.
NEW QUESTION # 267
Given the code shown below:
What will be the format for MSRP in the RPOC PRINT output?
Answer: C
Explanation:
The FORMAT statement in the DATA step assigns formats to variables for the SAS dataset being created. In the code provided, MSRP is given the dollar12. format and Invoice is given the dollar10. format. However, during the PROC PRINT step, MSRP is reassigned to the comma12.2 format. The format specified in the most recent PROC step or DATA step that executes is the one that is used in the output.
Therefore, the format for MSRP in the PROC PRINT output will be comma12.2, making the answer: B.
Comma12.2
References:
* SAS documentation on PROC PRINT and FORMAT statement, SAS Institute.
NEW QUESTION # 268
Consider a dataset 'Sales' with variables 'Region', 'Product', and 'Sales_Amount'. You need to create a new dataset 'Summary' that reports the total sales for each region and product combination, but only for regions where the total sales exceed $10,000. Which SAS code would you use to achieve this?
Answer: D
Explanation:
The correct answer is E. The code uses the BY statement to group the sales data by Region and Product. The function calculates the total sales for each group. The OUTPUT statement is then executed only if the sum is greater than 10,000, effectively filtering out regions with total sales below this threshold. Options A and B are incorrect because they do not use the correct function to calculate the total sales for each region-product combination. Option C is incorrect because it only checks for the last record in each region. Option D is incorrect because it only checks for the first record in each region. This scenario demonstrates how to use the OUTPUT statement in conjunction with BY group processing and aggregate functions to create a summary dataset based on specific conditions. It requires understanding the correct function and the use of group processing for data aggregation.
NEW QUESTION # 269
You're analyzing a dataset containing customer satisfaction ratings (1-5) and want to create a report showing the frequency distribution of ratings. However, you want the report to display the 'Excellent' (5) rating at the top and 'Poor' (1 ) rating at the bottom. Which PROC FREQ statement would achieve this?
Answer: D
Explanation:
The correct answer is E. The ORDER=(INTERNAL DESCENDING) option sorts the rows in descending order based on the internal storage order of the variable 'Rating'. Since the internal storage order would likely assign lower values to 'Poor' (1) and higher values to 'Excellent' (5), this achieves the desired result of 'Excellent' at the top and 'Poor' at the bottom. The other options are incorrect: A (ORDER-FREQ): Sorts rows by frequency, from highest to lowest. It might not match the desired order. B (ORDER-DATA): Sorts rows based on their order in the dataset. It might not match the desired order. C (ORDER-DESCENDING): Sorts rows by internal storage order but in descending order. This would result in the 'Poor' rating at the top. D (ORDER-FORMATTED): Sorts rows based on the formatted values, which might not match the desired order.
NEW QUESTION # 270
You have a dataset 'CUSTOMERS' with variables 'CUSTOMER ID', 'NAME', 'CITY', and 'STATE'. You want to sort the data first by 'STATE' in ascending order and then by 'CITY' in ascending order, but only for customers whose 'STATE' is 'CA'. Which PROC SORT statement achieves this?
Answer: E
Explanation:
The correct answer is option C. The WHERE statement in PROC SORT filters the data before sorting. By placing the WHERE statement before the BY statement, we ensure that only customers with 'STATE' equal to 'CA' are included in the sorting. Option A sorts all customers, while options B, D, and E have syntax errors or do not filter correctly Option C is the only option that correctly filters and sorts the data based on the provided requirements.
NEW QUESTION # 271
You have a dataset containing product information, including a variable named 'Category' with values such as 'Electronics', 'Clothing', 'Food', and 'Furniture'. You want to create a report that displays the total sales for each category, but you want to group 'Food' and 'Furniture' together under a new label 'Home & Living'. Which approach would you use?
Answer: E
Explanation:
The correct answer is B. PROC SQL allows you to create a new variable that groups the desired categories using a CASE statement and the IN operator. The code 'SELECT SUM(Sales), CASE WHEN Category IN ('Food', 'Furniture') THEN 'Home & Living' ELSE Category END AS Category FROM YourDataset GROUP BY Category' groups the 'Food' and 'Furniture' categories under 'Home & Living' while maintaining the original 'Electronics' and 'Clothing' categories, calculating the total sales for each group. Option A is incorrect as the LABEL statement in PROC SUMMARY doesn't support the WHEN clause_ Option C is incorrect because PROC REPORT doesn't have the LABEL statement, and while it has WHEN clause, its used for defining attributes for report columns. Option D is incorrect as PROC PRINT is not suitable for grouping categories and calculating sums. Option E is incorrect as the LABEL statement in PROC MEANS only allows for assigning labels to existing values, not creating new groups.
NEW QUESTION # 272
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