A00-215 Advanced Testing Engine & A00-215 Test Engine

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SASInstitute A00-215 certification exam is designed to test the fundamental knowledge and skills of a candidate in SAS programming. It is a globally recognized certification that validates the candidate's ability to write SAS programs, access and manage data, and perform basic programming tasks. SAS Certified Associate: Programming Fundamentals Using SAS 9.4 certification exam is suitable for beginners who are interested in pursuing a career in SAS programming or data analysis.

SASInstitute A00-215 Certification Exam is designed to test the skills and knowledge of individuals in SAS programming. A00-215 exam includes 70 multiple-choice questions, and candidates have 110 minutes to complete the test. The topics covered in the exam include SAS programming fundamentals, data manipulation, data analysis, and reporting. Passing the exam requires a score of at least 70%, and the certification is valid for three years.

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SASInstitute A00-215 Certification Exam is designed to test the knowledge and skills of individuals in areas such as programming, data manipulation, data analysis, and reporting techniques using SAS 9.4. A00-215 exam consists of 65 multiple-choice and short-answer questions that cover various topics such as SAS programming basics, SAS data sets, data cleaning and preparation, and statistical procedures. A00-215 Exam is conducted online and can be taken at any time.

SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q384-Q389):

NEW QUESTION # 384
You have two datasets, 'ORDERS' and 'PRODUCTS', both containing a variable 'PRODUCT ID'. You need to create a dataset 'ORDER SUMMARY that shows the total quantity ordered for each product, using the MERGE statement. Which of the following options correctly performs this task?

Answer: D

Explanation:
The correct answer is D. This option uses a conditional statement to ensure that the summation of the quantity is only performed when the current observation belongs to the 'ORDERS' dataset The "IN_ORDERS variable automatically created by the MERGE statement indicates whether the observation is from the 'ORDERS' dataset Option A would incorrectly add the quantity for all matching observations. Option B uses the IN variable but doesn't correctly aggregate the quantity. Option C incorrectly uses the 'SUM' function, which would only consider the current observation's quantity Option E is similar to A, performing the summation across all matching observations. Only option D accurately sums the quantities for each unique product ID within the 'ORDERS' dataset The '+' operator is crucial in accumulating the sum across multiple observations.

NEW QUESTION # 385
You have a SAS dataset named 'SALES' with variables 'REGION', 'PRODUCT', and 'SALES AMOUNT'. You want to create a new dataset named 'HIGH SALES' containing only observations where 'SALES AMOUNT' is greater than 10000 and the 'REGION' is 'North'. Which of the following DATA step code snippets would achieve this?

Answer: E

Explanation:
It uses the 'if statement with a combined logical condition, checking both the 'SALES_AMOUNT' and 'REGION' variables. Only observations where 'SALES_AMOUNT' is greater than 10000 AND 'REGION' is 'North' will be included in the new dataset 'HIGH_SALES'. The 'output' statement explicitly directs the qualifying observations to the new dataset. Options A, C, D, and E either lack the necessary combined condition or have incorrect logical operators, resulting in data subsets that do not match the desired criteria.

NEW QUESTION # 386
You have a dataset containing sales data for different products across multiple regions. You need to generate a report showing the average sales for each product in each region, as well as the overall average sales for each product across all regions. Which of the following PROC MEANS statements would achieve this?

Answer: C

Explanation:
The correct answer is E. This code snippet uses both CLASS statements to create a multi-level breakdown of the data by Region and Product. The OUTPUT statement creates a new dataset called 'Summary' with the calculated N (count) and MEAN (average sales) for each combination of Region and Product. The code in option D would produce the overall average sales for each product across all regions, but not the average for each region. Option A is incorrect because it does not specify an output dataset. Options B and C would generate a summary by Region or Product only, not both.

NEW QUESTION # 387
You have a dataset with a 'ProductStatus' variable containing values like 'Active', 'Inactive', 'Discontinued', or missing. You want to create a custom format to label missing values as 'Unknown' and combine 'Inactive' and 'Discontinued' as 'Not Active'. Which PROC FORMAT code snippet correctly defines this format?

Answer: A

Explanation:
The correct answer is Option A. It correctly defines the 'STATUS FORMAT' by explicitly mapping 'Active' to itself, combining 'Inactive' and 'Discontinued' to 'Not Active', and using 'OTHER' to handle all other values, including missing values. Options B and C use '.' or 'MISSING' directly which are not the correct way to handle all non-specified values. Options D and E are incorrect because they unnecessarily use both 'OTHER' and '.' or 'MISSING', which can cause unexpected behavior.

NEW QUESTION # 388
You have a dataset containing a variable 'PRICE' with values like 123.45, 25.87, 999.99, and 10.00. You want to create a new variable 'DISCOUNT PRICE by applying a discount of 10% to the 'PRICE variable and then rounding the discounted price to the nearest integer using both the ROUND and INT functions. Which code snippet achieves this correctly?

Answer: A

Explanation:
The correct code snippet first calculates the discounted price by multiplying the original price by 0.9 (10% discount), then rounds the result to the nearest integer using the ROUND function with 0 decimal places, and finally applies the INT function to truncate the decimal part, effectively rounding down to the nearest integer Option A correctly applies the ROUND function before the INT function, ensuring that the price is rounded to the nearest integer after applying the discount Other options either apply the functions in the wrong order or use incorrect logic for calculating the discount or rounding.

NEW QUESTION # 389
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A00-215 ADVANCED TESTING ENGINE & A00-215 TEST ENGINE

A00-215 Advanced Testing Engine & A00-215 Test Engine