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Free A00-280 - SAS Certified Big Data Professional Using SAS 9 and Hadoop Exam Questions and Answers

Last updated: January 14, 2025

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A00-280 - SAS Certified Big Data Professional Using SAS 9 and Hadoop

#Question
207. What is the significance of utilizing a "data sandbox" environment in analytics?
A.
To archive old records
B.
To manage backups
C.
To allow iterative testing
D.
To ensure data security
Correct Answer: C
A data sandbox environment allows for experimentation and iterative testing of analytics without impacting production datasets.

A00-280 – SAS Certified Big Data Professional Using SAS 9 and Hadoop

Discussing...

207. What is the significance of utilizing a "data sandbox" environment in analytics?


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#Question
206. To perform regression analysis on time-series data from Hadoop, which SAS procedure is key?
A.
PROC GLM
B.
PROC ARIMA
C.
PROC SUMMARY
D.
PROC REG
Correct Answer: B
PROC ARIMA is specifically designed for time-series forecasting and analysis, including regression analysis.

A00-280 – SAS Certified Big Data Professional Using SAS 9 and Hadoop

Discussing...

206. To perform regression analysis on time-series data from Hadoop, which SAS procedure is key?


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#Question
205. Which benefit does utilizing Hive over traditional databases offer when working with SAS?
A.
Enhanced performance
B.
Better SQL compliance
C.
Better schema flexibility
D.
Lower cost
Correct Answer: C
Hive's schema flexibility allows for working with varied data structures, making it suitable for big data operations.

A00-280 – SAS Certified Big Data Professional Using SAS 9 and Hadoop

Discussing...

205. Which benefit does utilizing Hive over traditional databases offer when working with SAS?


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#Question
204. To ensure that metadata is consistent when moving between SAS and Hadoop, which practice is vital?
A.
Data compression
B.
Version tracking
C.
Format conversion
D.
Standard naming
Correct Answer: D
Applying standard naming conventions is vital to maintain consistency in metadata across different systems.

A00-280 – SAS Certified Big Data Professional Using SAS 9 and Hadoop

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204. To ensure that metadata is consistent when moving between SAS and Hadoop, which practice is vital?


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#Question
203. When you need to integrate data from multiple sources including Hadoop into SAS, what must be managed?
A.
Data refresh rates
B.
Data transformations
C.
User access controls
D.
Data normalization
Correct Answer: B
Data transformations must be managed when integrating multiple datasets to ensure compatibility and coherence in formats.

A00-280 – SAS Certified Big Data Professional Using SAS 9 and Hadoop

Discussing...

203. When you need to integrate data from multiple sources including Hadoop into SAS, what must be managed?


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#Question
202. Which SAS procedure would best help identify outliers in large datasets sourced from Hadoop?
A.
PROC UNIVARIATE
B.
PROC REPORT
C.
PROC MEANS
D.
PROC FREQ
Correct Answer: A
PROC UNIVARIATE provides useful statistics and graphical displays to identify potential outliers in datasets.

A00-280 – SAS Certified Big Data Professional Using SAS 9 and Hadoop

Discussing...

202. Which SAS procedure would best help identify outliers in large datasets sourced from Hadoop?


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#Question
201. When creating a report in SAS from Hadoop data, which option enhances user interactivity?
A.
Static graphs
B.
Dynamic reports
C.
Single-page outputs
D.
Text-based analysis
Correct Answer: B
Dynamic reports allow users to interact with data through filtering and data selections within the report itself.

A00-280 – SAS Certified Big Data Professional Using SAS 9 and Hadoop

Discussing...

201. When creating a report in SAS from Hadoop data, which option enhances user interactivity?


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FAQ

Q1: What are SAS Institute Certification Exams? A: SAS Institute Certification Exams validate your expertise in using SAS software for data analytics, business intelligence, and data management. These certifications demonstrate your proficiency in applying SAS technologies to analyze data, generate insights, and support data-driven decision-making.

Q2: Why should I pursue SAS Certification? A: SAS Certification enhances your professional credibility, showcasing your skills and knowledge in data analytics and SAS software. This can lead to better job opportunities, higher salaries, and career advancement in data analysis, business intelligence, and data science roles.

Q3: What are the benefits of SAS Certification? A: Benefits include recognition as a certified SAS professional, improved job performance, access to exclusive resources, continuing education opportunities, and staying current with the latest SAS technologies and best practices.

Q4: Who should take SAS Certification Exams? A: Data analysts, data scientists, business analysts, statisticians, and anyone involved in data management and analysis using SAS software should consider these certifications to validate their expertise and advance their careers.

Q5: What types of SAS Certification Exams are available? A: SAS offers various certification paths, including:

  • SAS Certified Specialist: Base Programming Using SAS 9.4
  • SAS Certified Professional: Advanced Programming Using SAS 9.4
  • SAS Certified Data Scientist
  • SAS Certified Statistical Business Analyst
  • SAS Certified Visual Business Analyst: Exploration and Design
  • SAS Certified AI and Machine Learning Professional

Each certification path is tailored to different roles and expertise levels within the SAS ecosystem.

Q6: How do I prepare for SAS Certification Exams? A: Preparation can include official SAS training courses, study guides, practice exams, online tutorials, and hands-on experience with SAS products and solutions.

Q7: Where can I take SAS Certification Exams? A: SAS Certification Exams can be taken online with remote proctoring or at authorized Pearson VUE testing centers worldwide, providing flexibility to fit your schedule and location.

Q8: How do SAS Certifications impact my career? A: SAS Certifications significantly boost your career by demonstrating your expertise to employers, making you a more competitive candidate for advanced roles and promotions in data analysis, business intelligence, and data science.

Q9: Are there any prerequisites for SAS Certification Exams? A: Some exams may have prerequisites, such as foundational knowledge or prior experience with SAS software. Check the specific requirements for each certification path on the SAS certification website.

Q10: How often do I need to recertify for SAS Certifications? A: SAS Certifications typically do not require mandatory recertification. However, staying updated with the latest SAS technologies and continuing professional development is recommended to maintain your skills and relevance in the industry.

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