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Test Number : A00-211
Test Name : SAS Base Programming for SAS (r) 9
Vendor Name : SASInstitute
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Exam ID : A00-211
Exam Name : SAS Base Programming for SAS (r) 9 (SASInstitute)
Questions : 40-45
Duration : 135 min.
Passing Scores : 725
Total Point Scores : 1000

Access data.
� Access SAS data sets with the SET statement.
� Use PROC IMPORT to access non-SAS data sources.
o Read delimited and Microsoft Excel (.xlsx) files with PROC IMPORT.
o Use PROC IMPORT statement options (OUT=, DBMS=, REPLACE)
o Use the GUESSINGROWS statement
� Use the SAS/ACCESS XLSX engine to read a Microsoft Excel workbook.xlsx file.

Combine SAS data sets.
� Concatenate data sets.
� Merge data sets one-to-one.
� Merge data sets one-to-many.
Create and manipulate SAS date values.
� Explain how SAS stores date and time values.
� Use SAS informats to read common date and time expressions.
� Use SAS date and time formats to specify how the values are displayed.
Control which observations and variables in a SAS data set are processed and output.
� Use the WHERE statement in the DATA step to select observations to be processed.
� Subset variables to be output by using the DROP and KEEP statements.
� Use the DROP= and KEEP= data set options to specify columns to be processed and/or output.

Sort observations in a SAS data set.
� Use the SORT Procedure to re-order observations in place or output to a new dataset.
� Remove duplicate observations with the SORT Procedure.
Conditionally execute SAS statements.
� Use IF-THEN/ELSE statements to process data conditionally.
� Use DO and END statements to execute multiple statements conditionally.
Use assignment statements in the DATA step.
� Create new variables and assign a value.
� Assign a new value to an existing variable.
� Assign the value of an expression to a variable.
� Assign a constant date value to a variable.
Modify variable attributes using options and statements in the DATA step.
� Change the names of variables by using the RENAME= data set option.
� Use LABEL and FORMAT statements to modify attributes in a DATA step.
� Define the length of a variable using the LENGTH statement.
Accumulate sub-totals and totals using DATA step statements.
� Use the BY statement to aggregate by subgroups.
� User first. and last. processing to identify where groups begin and end.
� Use the RETAIN and SUM statements.
Use SAS functions to manipulate character data, numeric data, and SAS date values.
� Use SAS functions such as SCAN, SUBSTR, TRIM, UPCASE, and LOWCASE to perform
tasks such as the tasks shown below.
o Replace the contents of a character value.
o Trim trailing blanks from a character value.
o Search a character value and extract a portion of the value.
o Convert a character value to upper or lowercase.
� Use SAS arithmetic, financial, and probability functions to create or modify numeric values by using the INT and ROUND functions.
� Create SAS date values by using the functions MDY, TODAY, DATE, and TIME.
� Extract the month, year, and interval from a SAS date value by using the functions YEAR, QTR, MONTH, and DAY.
� Perform calculations with date and datetime values and time intervals by using the functions INTCK, INTNX, DATDIF and YRDIF

Use SAS functions to convert character data to numeric and vice versa.
� Explain the automatic conversion that SAS uses to convert values between data types.
� Use the INPUT function to explicitly convert character data values to numeric values.
Process data using DO LOOPS.
� Explain how iterative DO loops function.
� Use DO loops to eliminate redundant code and to perform repetitive calculations.
� Use conditional DO loops.
� Use nested DO loops.
Restructure SAS data sets with PROC TRANSPOSE.
� Select variables to transpose with the VAR statement.
� Rename transposed variables with the ID statement.
� Process data within groups using the BY statement.
� Use PROC TRANSPOSE options (OUT=, PREFIX= and NAME=).
Use macro variables to simplify program maintenance.
� Create macro variables with the %LET statement
� Use macro variables within SAS programs.
Error Handling
Identify and resolve programming logic errors.
� Use the PUTLOG Statement in the Data Step to help identify logic errors.
� Use PUTLOG to write the value of a variable, formatted values, or to write values of all variables.
� Use PUTLOG with Conditional logic.
� Use temporary variables N and ERROR to debug a DATA step.
Recognize and correct syntax errors.
� Identify the characteristics of SAS statements.
� Define SAS syntax rules including the typical types of syntax errors such as misspelled keywords, unmatched quotation marks, missing semicolons, and invalid options.
� Use the log to help diagnose syntax errors in a given program.

Generate list reports using the PRINT procedure.
� Modify the default behavior of PROC PRINT by adding statements and options such as
o use the VAR statement to select and order variables.
o calculate totals with a SUM statement.
o select observations with a WHERE statement.
o use the ID statement to identify observations.
o use the BY statement to process groups.
Generate summary reports and frequency tables using base SAS procedures.
� Produce one-way and two-way frequency tables with the FREQ procedure.
� Enhance frequency tables with options (NLEVELS, ORDER=).
� Use PROC FREQ to validate data in a SAS data set.
� Calculate summary statistics and multilevel summaries using the MEANS procedure
� Enhance summary tables with options.
� Identify extreme and missing values with the UNIVARIATE procedure.
Enhance reports system user-defined formats, titles, footnotes and SAS System reporting options.
� Use PROC FORMAT to define custom formats.
o VALUE statement
o CNTLIN= option
� Use the LABEL statement to define descriptive column headings.
� Control the use of column headings with the LABEL and SPLIT=options in Proc Print output.
Generate reports using ODS statements.
� Identify the Output Delivery System destinations.
� Create HTML, PDF, RTF, and files with ODS statements.
� Use the STYLE=option to specify a style template.
� Create files that can be viewed in Microsoft Excel.
Export data
� Create a simple raw data file by using the EXPORT procedure as an alternative to the DATA step.
� Export data to Microsoft Excel using the SAS/ACCESS XLSX engine.

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global records Monetization Market 2020:2027, trade evaluation With highest CAGR 21.7% through huge Market analysis | A00-211 boot camp and Test Prep

The MarketWatch news branch changed into no longer concerned in the introduction of this content material.

Sep 18, 2020 (PRNews instances by means of COMTEX) -- The international records Monetization market is expected to garner a revenue of $USD 1.9 billion in 2019 and develop with a 21.7 of percent during the forecast length 2020-2027, divulges a contemporary research report brought through large Market analysis

This file is meticulous research formulated by market gurus through deeply examining key using and restraining elements, foremost regional market situations, major avid gamers, and measurement & scope of the market. The record also offers price chain analysis, Porter's five Forces mannequin, and PEST analysis. moreover, the competitive panorama in diverse regions is elucidated within the file to assist appropriate market avid gamers, new entrants, and investors investigate investment alternatives.

Request for a pattern copy of this record @ https://www.bigmarketresearch.com/request-sample/4026557?utm_source=SHASHI&utm_medium=PRNT

the whole market is additional segmented based on enterprise, country, and application/class for aggressive landscape analysis. On the contrary, counsel on business chain constitution, emerging functions, and technological developments available in the market makes the record a ought to-read doc.

The document displays detailed information about the international key gamers as well as some small players of the records Monetization sector.

These insights support assess the energy of competitors and take the fundamental steps to reap a leading place within the information Monetization industry.

moreover, the analysis offers a detailed evaluation of the important thing segments of the market with the help of charts and tables. an overview of each market phase reminiscent of category, utility, and place are additionally offered within the file. These insights help in understanding the global developments within the information Monetization industry and kind techniques to be implemented sooner or later.

The regional evaluation of international statistics Monetization market is regarded for the important thing areas akin to Asia Pacific, North america, Europe, Latin the us and leisure of the area. North the us is the main/enormous location internationally in terms of market share as a result of the excessive disposable earnings coupled with rising vogue of interior designing within the place. Whereas, Asia-Pacific is also predicted to demonstrate highest boom cost / CAGR over the forecast duration 2020-2027

The document also explains the components boosting the market growth. The major drivers of the statistics Monetization market are:

Microsoft agency, Salesforce.com, inc., Oracle company, SAP, SAS Institute, Sisense, TIBCO utility Inc., overseas company Machines service provider (IBM), Qlik, Domo Inc.

in addition, the research document offers a complete evaluation of the important thing segments of the facts Monetization market. an outline of every market segment reminiscent of class, application, and location are additionally offered in the report.

by means of component:ToolsServices

Deployment Mode:On-PremisesCloud

by means of organization measurement:Small and Medium-sized companies (SMEs)enormous companies

through facts classification:buyer dataProduct dataFinancial dataSupplier facts

by using company characteristic:earnings and marketingSupply chain managementOperationsFinance

with the aid of Vertical:Banking, economic features, and insurance (BFSI)TelecommunicationConsumer items and RetailInformation technology (IT)HealthcareManufacturingMedia and EntertainmentTransportation and LogisticsEnergy and Utilities

On the groundwork of vicinity, the market is evaluated throughout:

North the usa- U.S., Canada

Europe- UK, Germany

Asia Pacific- China, India, Japan

Latin the us- Brazil, Mexico, relaxation of the area

The report outlines company profiles, product standards and capacity, construction value, and 2020-2027 market shares of key gamers energetic out there. moreover, the research items the efficiency and up to date developments of the greatest avid gamers functioning available in the market. The insights delivered in the document are constructive for people or groups drawn to investing within the facts Monetization business. These insights may aid market gamers in devising beneficial enterprise thoughts and taking the mandatory steps to obtain a management position in the business.

Shareholders, stakeholders, product managers, advertising and marketing officials, investors, and different professionals seeking designated information on deliver, demand, and future predictions of the information Monetization market would locate the report a good idea. moreover, they activity to bring a customised report to satisfy the particular requirements of their shoppers, on-demand.

analysis look at of world records Monetization Market document Is As Follows:Breakdown and planning of records Monetization Market in line with fame, value, and market size.To latest the precise information Monetization gamers, their company profiles, product portfolio, market share, and salary evaluation.appropriate regions of information Monetization, SWOT evaluation, opportunities, and threats to the market development are explained.To check the distinct functions, product kinds, market cost, and producing means.Flashlight business expertise, import-export fame, production, and expenditure evaluation.The mergers & houses, likelihood analysis, and analyst views and opinions are given.Market price, consumption forecast, and extent forecast from 2020-2027.statistics Monetization industry chain constitution, manufacturing base, raw cloth can charge, and advertising channel evaluation is coated.presents strategic options to the new information Monetization individuals.enterprise profiles, thoughts, mergers & acquisitions, fiscal reputation, and feasibility analysis are described.

Highlights following key components:

:- business description - a detailed description of the company's operations and enterprise divisions.:- company method - Analyst's summarization of the company's enterprise method.:- SWOT analysis - an in depth evaluation of the enterprise's strengths, weakness, alternatives and threats.:- enterprise heritage - progression of key activities associated with the business.:- foremost products and features - a listing of most important items, capabilities and brands of the business.:- Key competitors - a listing of key competitors to the company.:- important locations and subsidiaries - a listing and speak to particulars of key areas and subsidiaries of the company.:- special monetary ratios for the past 5 years - The latest monetary ratios derived from the annual financial statements published with the aid of the company with 7 years heritage.

goal audience of the global records Monetization Market in Market study:

Key Consulting organizations & Advisors

massive, medium-sized, and small enterprises

undertaking capitalists

cost-introduced Resellers (VARs)

Third-birthday party advantage providers

investment bankers

traders

Avail the discount on this record @ https://www.bigmarketresearch.com/request-for-discount/4026557?utm_source=SHASHI&utm_medium=PRNT

table of Contents

Chapter 1. govt summary

Chapter 2. international information Monetization Market Definition and Scope

Chapter 3. world information Monetization Market Dynamics

Chapter 4. global records Monetization Market: trade evaluation

Chapter 5. international records Monetization Market, through system

Chapter 6. international records Monetization Market, through vogue

Chapter 7. global records Monetization Market, through application

Chapter 8. global statistics Monetization Market, Regional analysis

Chapter 9. competitive Intelligence

Chapter 10. research method

About Us:

large Market analysis has a range of research reports from a variety of publishers internationally. Their database of stories of various market categories and sub-categories would aid to find the genuine report you may well be hunting for.

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The submit global records Monetization Market 2020:2027, trade evaluation With maximum CAGR 21.7% by using large Market research looked first on PR news times.

COMTEX_371494102/2627/2020-09-18T09:08:12

Is there an issue with this press liberate? Contact the source provider Comtex at editorial@comtex.com. you can additionally contact MarketWatch client service by means of their customer middle.

The MarketWatch news branch became now not concerned in the advent of this content.

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