Implementation Best Practices with SAS Data Quality Steward (A00-262) Certification

1. IMPLEMENTATION BEST PRACTICES WITH SAS DATA QUALITY STEWARD (A00-262) CERTIFICATION A00-262 Practice Test and Preparation Guide GET COMPLETE DETAIL ON A00-262 EXAM GUIDE TO CRACK SAS 9.4. YOU CAN COLLECT ALL INFORMATION ON A00-262 TUTORIAL, PRACTICE TEST, BOOKS, STUDY MATERIAL, EXAM QUESTIONS, AND SYLLABUS. FIRM YOUR KNOWLEDGE ON SAS 9.4 AND GET READY TO CRACK A00- 262 CERTIFICATION. EXPLORE ALL INFORMATION ON A00-262 EXAM WITH THE NUMBER OF QUESTIONS, PASSING PERCENTAGE, AND TIME DURATION TO COMPLETE THE TEST.

2. www.analyticsexam.com A00-262 Practice Test A00-262 is SAS Certified Data Quality Steward for SAS 9– Certification offered by the SAS. Since you want to comprehend the A00-262 Question Bank, I am assuming you are already in the manner of preparation for your A00-262 Certification Exam. To prepare for the actual exam, all you need is to study the content of this exam questions. You can recognize the weak area with our premium A00-262 practice exams and help you to provide more focus on each syllabus topic covered. This method will help you to increase your confidence to pass the SAS Data Quality Steward certification with a better score. SAS Data Quality Using DataFlux Data Management Studio 1

3. www.analyticsexam.com A00-262 Exam Details Exam Name SAS Certified Data Quality Steward for SAS 9 Exam Code A00-262 Exam Duration 110 minutes Exam Questions 75 Multiple Choice Questions Passing Score 68% Exam Price $180 (USD) DataFlux® Data Management Studio: Fast Track DataFlux® Data Management Studio: Understanding the Quality Knowledge Base DataFlux® Data Management Studio: Creating a New Data Type in the Quality Knowledge Base Training DataFlux Data Management Studio Documentation DataFlux Data Management Server Documentation Books Exam Registration Sample Questions Pearson VUE SAS Data Quality Steward Certification Sample Question Practice Exam SAS Data Quality Steward Certification Practice Exam SAS Data Quality Using DataFlux Data Management Studio 2

4. www.analyticsexam.com A00-262 Exam Syllabus Objective Details Navigating the DataFlux Data Management Studio Interface Navigate within the Data Management Studio Interface - Register a new Quality Knowledge Base (QKB) - Create and connect to a repository - Define a data connection - Specify Data Management Studio options - Access the QKB - Create a name value macro pair - Access the business rules manager - Access the appropriate monitoring report - Attach and detach primary tabs Exploring and Profiling data Create and explore a data profile - Create and explore a data profile ●Different sources: text file, filtered table, SQL query - Interpret the results ●Frequency distribution ●Pattern frequency distribution ●Standard metrics ●Visualizations ●Alerts Design data - Build a scheme from profile results - Build a scheme manually - Update existing schemes - Import and export a scheme standardization schemes Data Jobs SAS Data Quality Using DataFlux Data Management Studio 3

5. www.analyticsexam.com Create Data Jobs - Rename output fields - Add nodes and preview nodes - Run a data job - View a log and settings - Work with data job settings and data job displays - Best practices (ensure you are following a particular best practice such as inserting notes, establishing naming conventions) - Work with branching - Join tables - Apply the Field layout node to control field order - Work with the Data Validation node: ●Add it to the job flow ●Specify properties/review properties ●Edit settings for the Data Validation node - Work with data inputs - Work with data outputs - Profile data from within data jobs - Interact with the Repository from within Data Jobs - Debug levels for logging - Determine how data is processed - Set sorting properties for the Data Sorting Node - Use a definition - Use a scheme - Determine the differences between definition and scheme - Explain what happens when you use both a definition and scheme - Review and interpret standardization results - Explain the different steps involved in the process of standardization Apply a Standardization definition and scheme Apply Parsing definitions - Distinguish between different data types and their tokens - Review and interpret parsing results - Explain the different steps involved in the process of parsing - Use parsing definition - Interpret parse result codes Apply Casing definitions - Describe casing methods: upper/lower/proper - Explain different techniques for accomplishing casing - Use casing definition SAS Data Quality Using DataFlux Data Management Studio 4

6. www.analyticsexam.com Compare and contrast the differences between identification analysis and right fielding nodes Apply the Gender Analysis node to determine gender - Review results - Explain the technique used for identification (process of definition) - Use gender definition - Interpret results - Explain different techniques for conducting gender analysis - Use a clustering node in a data job and explain its use - Survivorship (surviving record identification) Create an Entity Resolution Job ●Record rules ●Field rules ●Options for survivorship - Discuss and apply the Cluster Diff node - Apply Cross-field matching - Entity resolution file output node - Use the Match Codes Node to select match definitions for selected fields. ●Outline the various uses for match codes (join) ●Use the definition ●Interpret the results ●Match versus match parsed ●Explain the process for creating a match code ●Select sensitivity for a selected match definition ●Apply matching best practices Use data job references within a data job - Use of external data provider node - Use of data job reference node - Define a target node - Explain why you would want to use a data job reference (best practice) - Real-time data service - Interpret the results - Explain the process of the definition Understand how to use an Extraction definition Explain the process of the definition of pattern analysis Business Rules Monitoring SAS Data Quality Using DataFlux Data Management Studio 5

7. www.analyticsexam.com Define and create business rules - Use Business Rules Manager - Create a new business rule ●Name/label rule ●Specify type of rule ●Define checks ●Specify fields - Distinguish between different types of business rules ●Row ●Set ●Group - Apply business rules ●Profile ●Execute business rule node - Use of Expression Builder - Apply best practices Create new tasks - Understand events ●Log error to repository ●Set a data flow/key value ●Log error to a text file ●Write the row to a table - Applying tasks ●Explain purpose of the data monitoring node - Review a data monitoring job log - Review a monitoring report ●Trigger values ●Filters Data Management Server Interact with the Data Management Server - Import/export jobs (special case profile) - Test service - Run history/job status - Identify the required configuration components (QKB, data, reference sources, and repository) - Security, the access control list - Creation and use of WSDL SAS Data Quality Using DataFlux Data Management Studio 6

8. www.analyticsexam.com Expression Engine Language (EEL) Explain the basic structure of EEL (components and syntax) - Identify basic structural components of the code ●Statements ●Functions ●Declarations - Use EEL ●Profile ●Expression node (data job) Tabs (expression, grouping, etc) Order of Operations (pre/post, etc) ●Expression node (process job) ●Business rules ●Custom metrics Use in profile Use in data job (execute custom metric node) Use in business rule ●Use in data validation node Process Jobs Work with and create process jobs - Add nodes and explain what nodes do - Interpret the log - Parameterizing process jobs - Identify Run options - Using different functionality in process jobs - If/then logic ●Echo ●Fork ●Parallel iterator ●Events and event handling (event listener) ●Global get/set ●Expression code features Declaration of events Set output slot - Embedded data job and data job reference - Using Work tables, process flow worktable reader - SAS code execution - SQL SAS Data Quality Using DataFlux Data Management Studio 7

9. www.analyticsexam.com Macro Variables and Advanced Properties and Settings Work with and use macro variables in data profiles, data jobs and data monitoring - Define macro variables: ●In DM studio ●In Configuration files ●With Command line ●Dynamic - Use macro variables: ●In a profile ●In expression code ●In a data job ●In a process job ●In business rules - Determine Scoping/precedence (order in which macros are read) - Compare/Contrast DM Studio versus DM Server Determine uses for advanced properties - Multi-locale ●Use locale guessing ●Use with a scheme ●Locale list and locale field - Apply setting for Max output rows Quality Knowledge Base (QKB) Describe the organization, structure and basic navigation of the QKB - Identify and describe locale levels (global, language, country) - Navigate the QKB (tab structure, copy definitions, etc) - Identify data types and tokens - Regular expressions - Schemes - Phonetics library - Vocabularies - Grammar - Chop Tables Be able to articulate when to use the various components of the QKB. Components include: SAS Data Quality Using DataFlux Data Management Studio 8

10. www.analyticsexam.com Define the processing steps and components used in the different definition types. - Identify/describe the different definition types ●Parsing ●Standardization ●Match ●Identification ●Casing ●Extraction ●Locale guess ●Gender ●Patterns - Explain the interaction between different definition types (with one another, parse within match, etc) SAS Data Quality Using DataFlux Data Management Studio 9

11. www.analyticsexam.com A00-262 Questions and Answers Set 01. Which option in the properties of a Clustering node allows you to identify which clustering condition was satisfied? a) Cluster condition field matched b) Condition matched field prefix c) Cluster condition field count d) Cluster condition met field Answer: b 02. How do you test a real-time data service from the Data Management Server riser bar? a) Select the action menu pull down and select the Test button. b) Right click on Data Management Server, select the Test button, and then select the real-time data service to test. c) There is no way to test the real-time data service in the Data Management Server riser bar. d) Select the action menu pull down and select the Create WSDL Service button to automatically test. Answer: a SAS Data Quality Using DataFlux Data Management Studio 10

12. www.analyticsexam.com 03. Refer to the exhibit below. What process job node would you replace the blue box to complete this flow? a) If Then b) Fork c) Parallel Iterator d) Echo Answer: a 04. How do you access the Data Management Studio Options window? a) from the Administration riser bar b) from the Tools menu c) from the Information riser bar d) in the app.cfg file in the DataFlux Data Management Studio installation folder Answer: b SAS Data Quality Using DataFlux Data Management Studio 11

13. www.analyticsexam.com 05. A Data Quality Steward creates these items for the Supplier repository: - A row-based business rule called Monitor for Nulls - A set-based business rule called Percent of Verified Addresses - A group-based rule called Low Product Count - A task based on the row-based, set-based, and group-based rules called Monitor Supplier Data Which one of these can the Data Quality Steward apply in an Execute Business Rule node in a data job? a) set-based business rule called Percent of Verified Addresses b) task based on the row-based, set-based, and group-based rules called Monitor Supplier Data c) row-based business rule called Monitor for Nulls d) group-based rule called Low Product Count Answer: c 06. A sample of data has been clustered and found to contain many multi- row clusters. To construct a "best" record for each multi-row cluster, you need to select information from other records within a cluster. Which type of rule allows you to perform this task? a) Clustering rules b) Record rules c) Business rules d) Field rules Answer: d SAS Data Quality Using DataFlux Data Management Studio 12

14. www.analyticsexam.com 07. While building a data job that creates match codes on a data element, you realize some match codes are not being generated as expected. You suspect the problem might be in the parsing step that is being used by the Match Definition. Which steps do you take to identify the Parse Definition being used by the Match Definition to begin the debugging process? a) Open the QKB in Data Management Studio, and then double click on the Match Definition to open it in the appropriate editor. b) Access the Match Definition Quick Editor to identify which Parse Definition is being used to tokenize the data values. c) Open the Data Management Studio Customize interface to open the Match Definition in the appropriate editor. d) Run an impact analysis on the Match Definition to determine which Parse Definition is being used. Answer: a 08. Which Expression Engine Language (EEL) statement assigns the macro variable MY_VAR to the value of 10? a) setvar("MY_VAR") = 10 b) %%MY_VAR%% = 10 c) &MY_VAR = 10 d) setvar("MY_VAR",10) Answer: d SAS Data Quality Using DataFlux Data Management Studio 13

15. www.analyticsexam.com 09. Given these circumstances: - The Marketing table contains 150 rows - A data job reads from the Marketing table using a Data Source node - The number of rows shown in the preview pane is 75 When the data job executes, how many rows are read if the MAX_OUTPUT_ROWS advanced property for the Data Source node is null? a) 0 rows b) 150 rows c) The node produces an error. d) 75 rows Answer: b 10. How are the Field name analysis and Sample data analysis methods similar? a) They both utilize a match definition from the Quality Knowledge Base. b) They both require the same identification analysis definition from the Quality Knowledge Base. c) They both utilize an identification analysis definition from the Quality Knowledge Base. d) They both require the same match definition from the Quality Knowledge Base. Answer: c SAS Data Quality Using DataFlux Data Management Studio 14

16. www.analyticsexam.com Full Online Practice of A00-262 Certification AnalyticsExam.com is one of the world’s leading certifications, Online Practice Test providers. We partner with companies and individuals to address their requirements, rendering Mock Tests and Question Bank that encourages working professionals to attain their career goals. You can recognize the weak area with our premium A00- 262 practice exams and help you to provide more focus on each syllabus topic covered. Start Online practice of A00-262 Exam by visiting URL https://www.analyticsexam.com/sas-certification/a00-262-sas-certified- data-quality-steward-sas-9 SAS Data Quality Using DataFlux Data Management Studio 15