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Exam Number : A00-211
Exam 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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HTF MI introduce new research on statistics company in Oil and gasoline protecting micro stage of evaluation by using opponents and key company segments (2021-2027). The information business in Oil and gas explores complete analyze on quite a few segments like opportunities, dimension, construction, innovation, earnings and ordinary growth of main players. The research is carried out on basic and secondary data sources and it consists each qualitative and quantitative detailing. one of the crucial MajorKey gamers profiled in the examine are IBM, Dell EMC, Oracle, SAP, Cisco software, SAS Institute, Microsoft, Tata Consultancy features, Hitachi Vantara, Schlumberger, Datawatch, Drillinginfo, Hortonworks, Newgen utility, Halliburton, Informatica, MapR technologies, Cloudera, Palantir options, Capgemini, OSIsoft.Ask Free demo report + All connected desk and Graphs @ https://www.htfmarketreport.com/pattern-report/3693684-facts-business-in-oil-and-fuel-market-1

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Which market facets are illuminated in the report?

government summary: It covers a summary of essentially the most essential reviews, the statistics company in Oil and gas market increasing fee, modest situations, market developments, drivers and problems in addition to macroscopic pointers.

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records business in Oil and gas Market by Key players: IBM, Dell EMC, Oracle, SAP, Cisco software, SAS Institute, Microsoft, , Tata Consultancy capabilities, Hitachi Vantara, Schlumberger, Datawatch, Drillinginfo, Hortonworks, Newgen application, Halliburton, Informatica, MapR technologies, Cloudera, Palantir solutions, Capgemini, OSIsoft

information company in Oil and fuel Market with the aid of forms: huge statistics, records administration & Direct facts Monetization

records company in Oil and gas Market by means of end-user/software: national Oil organizations (NOCs), impartial Oil businesses (IOCs) & countrywide records Repository (NDR)

records company in Oil and gas Market by Geographical evaluation: North america, US, Canada, Mexico, Europe, Germany, France, U.okay., Italy, Russia, Nordic nations, Benelux, relaxation of Europe, Asia, China, Japan, South Korea, Southeast Asia, India, relaxation of Asia, South the united states, Brazil, Argentina, rest of South the usa, core East & Africa, Turkey, Israel, Saudi Arabia, UAE & leisure of core East & Africa

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desk of ContentChapter One: trade OverviewChapter Two: most important Segmentation (Classification, utility and and so on.) AnalysisChapter Three: construction Market AnalysisChapter four: revenue Market AnalysisChapter five: Consumption Market AnalysisChapter Six: production, sales and Consumption Market evaluation AnalysisChapter Seven: principal manufacturers creation and earnings Market comparison AnalysisChapter Eight: competitors evaluation through PlayersChapter 9: advertising Channel AnalysisChapter Ten: New challenge funding Feasibility AnalysisChapter Eleven: Manufacturing can charge AnalysisChapter Twelve: Industrial Chain, Sourcing method and Downstream consumers

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About author:HTF Market file is a wholly owned manufacturer of HTF market Intelligence Consulting private restrained. HTF Market record international research and market intelligence consulting organization is uniquely placed to no longer most effective identify boom alternatives however to also empower and inspire you to create visionary growth recommendations for futures, enabled by means of their miraculous depth and breadth of idea leadership, analysis, tools, routine and adventure that aid you for making goals right into a fact. Their realizing of the interaction between industry convergence, Mega trends, technologies and market traits offers their purchasers with new business models and growth opportunities. we're concentrated on identifying the β€œaccurate Forecast” in every business they cowl so their consumers can reap the merits of being early market entrants and may accomplish their β€œdesires & pursuits”.

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