A00-215 LATEST EXAM FORMAT | ACTUAL A00-215 TEST ANSWERS

A00-215 Latest Exam Format | Actual A00-215 Test Answers

A00-215 Latest Exam Format | Actual A00-215 Test Answers

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Tags: A00-215 Latest Exam Format, Actual A00-215 Test Answers, A00-215 Dumps Collection, New A00-215 Exam Answers, A00-215 Reliable Exam Test

SASInstitute certification A00-215 exam is a rare examination opportunity to improve yourself and it is very valuable in the IT field. There are many IT professionals to participate in this exam. Passing SASInstitute certification A00-215 exam can improve your IT skills. Our DumpsKing provide you practice questions about SASInstitute Certification A00-215 Exam. DumpsKing's professional IT team will provide you with the latest training tools to help you realize their dreams earlier. DumpsKing have the best quality and the latest SASInstitute certification A00-215 exam training materials and they can help you pass the SASInstitute certification A00-215 exam successfully.

SASInstitute A00-215 exam covers a wide range of topics related to SAS programming, including data manipulation, reading and writing SAS data sets, SAS programming structure, SAS procedures, and SAS programming techniques. A00-215 exam is conducted online, and candidates are given two hours to complete it. A00-215 exam consists of 60 multiple-choice questions, and the passing score is 70%. A00-215 exam is available in multiple languages, including English, Japanese, and Chinese.

SASInstitute A00-215 certification exam covers a wide range of topics, including SAS programming basics, data manipulation, data analysis, and reporting. A00-215 exam consists of multiple-choice questions, and the duration of the exam is two hours. A00-215 Exam is available in English and Japanese, and candidates can take the exam at any Pearson VUE testing center.

SASInstitute A00-215 exam is a pre-requisite for many advanced-level SAS certifications, such as the SAS Certified Base Programmer and SAS Certified Advanced Programmer. SAS Certified Associate: Programming Fundamentals Using SAS 9.4 certification is recognized globally and is highly valued by organizations that use SAS software for data management and analysis. 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 using SAS software to solve real-world problems.

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SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q367-Q372):

NEW QUESTION # 367
You have a SAS dataset 'PRODUCT SALES' with variables 'PRODUCT ID', 'SALES DATE', 'QUANTITY SOLD', and PRICE'. You need to create a new dataset 'MONTHLY SALES' that only includes observations where 'SALES DATE' falls within the month of June (regardless of year) and the 'PRICE' is greater than 100. Which code snippet would you use to achieve this?

  • A.
  • B.
  • C.
  • D.
  • E.

Answer: D

Explanation:
The correct code snippet is option B. It utilizes the 'month' function to extract the month from the 'SALES_DATE' variable and compares it to 6 (June). Additionally, it incorporates the 'PRICE' condition, ensuring only observations with 'PRICE' greater than 100 are included in the new dataset 'MONTHLY_SALES'. Option A only filters by month, neglecting the price criterion. Option C filters for a price less than 100, which contradicts the requirement. Option D attempts to compare the 'SALES DATE' variable to a string 'June', which is incorrect syntax. Option E only filters by month and lacks the 'then' statement for outputting to the new dataset.


NEW QUESTION # 368
You have two SAS datasets, 'SALES 2022' and 'SALES 2023', each containing sales data for the respective years. Both datasets share the same structure with variables like 'Region', 'Product', and 'SalesAmount'. You want to combine these datasets into a single dataset called 'ALL SALES' to analyze the sales trends over the two years. How would you accomplish this using the SET statement within the DATA step, ensuring that the original datasets remain untouched?

  • A.
  • B.
  • C.
  • D.
  • E.

Answer: E

Explanation:


NEW QUESTION # 369
You are analyzing survey data where respondents were asked to rate their satisfaction with a product on a scale of 1 to 5. You want to create a two-way table that shows the frequency distribution of satisfaction ratings by gender. You also want to include the row percentages for each satisfaction rating within each gender category. Which of the following PROC FREQ statements would achieve this?

  • A.
  • B.
  • C.
  • D.
  • E.

Answer: B

Explanation:
The correct code is: 'PROC FREQ DATA=Survey; TABLE Gendersatisfaction / CROSSLIST ROWPCT; RUN;' The "CROSSLIST option ensures the table is displayed with Gender as rows and Satisfaction as columns- The 'ROWPCT option calculates and displays row percentages within each gender category, providing a more meaningful analysis of satisfaction ratings across different genders.


NEW QUESTION # 370
Which ODS EXCEL statement correctly creates an Excel using the ANALYSIS style?

  • A. Ods excel=' c : report. xlsx' / analysis;
  • B. Ods excel workbook=' report. xles' analysis;
  • C. Ods excel file ='c report.xlsx' styleanalysis;
  • D. Ods excel=' c : report. xlsx' style=analysis;

Answer: A


NEW QUESTION # 371
You are working with a SAS dataset named 'SALES containing information about sales transactions. The dataset has a variable 'PRODUCT ID' and 'QUANTITY SOLD'. You want to create a new dataset 'SALES SUMMARY' that summarizes the total quantity sold for each product. Which code snippet would you use to achieve this?

  • A.
  • B.
  • C.
  • D.
  • E.

Answer: A

Explanation:
It uses the 'by' statement to group observations by 'PRODUCT_ID', initializes 'sum_quantity' to 0 for the first observation of each product, and accumulates the total quantity sold using 'sum_quantity + QUANTITY SOLD. The 'output' statement writes the summarized data to the new dataset 'SALES_SUMMARY. Option B incorrectly uses for the summation. Options C and E use , which calculates the sum for the entire dataset instead of grouping by product. Option D omits initialization of 'sum_quantity' and uses 'sum_quantity + QUANTITY_SOLD incorrectly without a clear accumulation logic.


NEW QUESTION # 372
......

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