SAP HANA Online Test

The SAP HANA Online Test uses scenario-based multiple choice questions to evaluate candidates on data modeling, SQLScript, stored procedures, data replication, data provisioning, security, performance optimization, and administration. The test aims to determine candidates' ability to design, develop, and deploy high-performance data processing solutions on the SAP HANA platform, as well as their familiarity with SAP HANA best practices, design patterns, and techniques.

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Screen candidates with a 35 mins test

Test duration: ~ 35 mins

Difficulty level: Moderate

Availability: Available as custom test

Questions:

15 SAP HANA MCQs

Covered skills:

SAP HANA Architecture

SAP HANA Data Modeling

SAP HANA SQL Scripting

SAP HANA Security

SAP HANA Administration and Monitoring

SAP HANA Integration

SAP HANA Performance Optimization

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Use the SAP HANA Test to shortlist qualified candidates

The SAP HANA Online Test helps recruiters and hiring managers identify qualified candidates from a pool of resumes, and helps in taking objective hiring decisions. It reduces the administrative overhead of interviewing too many candidates and saves time by filtering out unqualified candidates at the first step of the hiring process.

The test screens for the following skills that hiring managers look for in candidates:

Ability to understand and explain the SAP HANA Architecture
Ability to create efficient SAP HANA Data Models
Ability to write complex SQL Scripts in SAP HANA
Ability to implement and manage SAP HANA Security
Ability to administer and monitor SAP HANA systems
Ability to integrate SAP HANA with external systems
Ability to optimize the performance of SAP HANA

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Screen candidates with the highest quality questions

We have a very high focus on the quality of questions that test for on-the-job skills. Every question is non-googleable and we have a very high bar for the level of subject matter experts we onboard to create these questions. We have crawlers to check if any of the questions are leaked online. If/ when a question gets leaked, we get an alert. We change the question for you & let you know.

How we design questions

These are just a small sample from our library of 15,000+ questions. The actual questions on this SAP HANA Online Test will be non-googleable.

🧐 Question
Medium Output rows	Solve
Musk joined as SAP HANA administrator at Grimes Inc. While working on HANA database, Musk noticed the following: 1: While joining the tables P and Q, Number of rows in the output is equal to row count P multiplied by row count in Q 2: Log area is filling continuously and causing database to hang Which of the following statements are correct? A: Musk is using Outer Join to join P and Q B: Musk is using Self Join to join P and Q C: Musk is using Cross Join to join P and Q D: Musk can limit file size to fix the log area issue E: Musk can use backint destination type to fix the log area issue F: Musk can enable automatic log backup to fix the log area issue
Easy Performance Improvement	Solve
Jupiter Inc. is facing performance issues with SAP BusinessObjects reports based on SAP HANA data. Which of these would you recommend to improve performance? A: Add only relevant data to the report queries B: Avoid aggregation and work on raw data C: Use drill-down or linked reports D: Merge all relevant data into a consolidated report
Medium Storing data	Solve
Tony joined Lokitwa as junior SAP HANA developer. Which of the following would you recommend to Tony for storing data in BW system running on SAP HANA? A. Move less important data into an external storage system (cool data) B. Store the most relevant data in a compressed column store (hot data) C. Store the bulk of the data on disk for retrieval when required (warm data) D. Store all data in compressed column stores to maximize performance (hot data) E. Split the most relevant data by date and store between an uncompressed column store and tables stored on disk (warm data)

	🧐 Question	🔧 Skill
	Medium Output rows	3 mins SAP HANA	Solve
Musk joined as SAP HANA administrator at Grimes Inc. While working on HANA database, Musk noticed the following: 1: While joining the tables P and Q, Number of rows in the output is equal to row count P multiplied by row count in Q 2: Log area is filling continuously and causing database to hang Which of the following statements are correct? A: Musk is using Outer Join to join P and Q B: Musk is using Self Join to join P and Q C: Musk is using Cross Join to join P and Q D: Musk can limit file size to fix the log area issue E: Musk can use backint destination type to fix the log area issue F: Musk can enable automatic log backup to fix the log area issue
	Easy Performance Improvement	2 mins SAP HANA	Solve
Jupiter Inc. is facing performance issues with SAP BusinessObjects reports based on SAP HANA data. Which of these would you recommend to improve performance? A: Add only relevant data to the report queries B: Avoid aggregation and work on raw data C: Use drill-down or linked reports D: Merge all relevant data into a consolidated report
	Medium Storing data	2 mins SAP HANA	Solve
Tony joined Lokitwa as junior SAP HANA developer. Which of the following would you recommend to Tony for storing data in BW system running on SAP HANA? A. Move less important data into an external storage system (cool data) B. Store the most relevant data in a compressed column store (hot data) C. Store the bulk of the data on disk for retrieval when required (warm data) D. Store all data in compressed column stores to maximize performance (hot data) E. Split the most relevant data by date and store between an uncompressed column store and tables stored on disk (warm data)

	🧐 Question	🔧 Skill	💪 Difficulty	⌛ Time
	Output rows	SAP HANA	Medium	3 mins	Solve
Musk joined as SAP HANA administrator at Grimes Inc. While working on HANA database, Musk noticed the following: 1: While joining the tables P and Q, Number of rows in the output is equal to row count P multiplied by row count in Q 2: Log area is filling continuously and causing database to hang Which of the following statements are correct? A: Musk is using Outer Join to join P and Q B: Musk is using Self Join to join P and Q C: Musk is using Cross Join to join P and Q D: Musk can limit file size to fix the log area issue E: Musk can use backint destination type to fix the log area issue F: Musk can enable automatic log backup to fix the log area issue
	Performance Improvement	SAP HANA	Easy	2 mins	Solve
Jupiter Inc. is facing performance issues with SAP BusinessObjects reports based on SAP HANA data. Which of these would you recommend to improve performance? A: Add only relevant data to the report queries B: Avoid aggregation and work on raw data C: Use drill-down or linked reports D: Merge all relevant data into a consolidated report
	Storing data	SAP HANA	Medium	2 mins	Solve
Tony joined Lokitwa as junior SAP HANA developer. Which of the following would you recommend to Tony for storing data in BW system running on SAP HANA? A. Move less important data into an external storage system (cool data) B. Store the most relevant data in a compressed column store (hot data) C. Store the bulk of the data on disk for retrieval when required (warm data) D. Store all data in compressed column stores to maximize performance (hot data) E. Split the most relevant data by date and store between an uncompressed column store and tables stored on disk (warm data)

Test candidates on core SAP HANA Hiring Test topics

SAP HANA Architecture: SAP HANA Architecture refers to the design and structure of SAP's in-memory database platform. It encompasses the hardware, software, and network components that enable data storage, retrieval, and processing. This skill should be measured in the test as a strong understanding of the architecture is crucial for effectively utilizing SAP HANA's capabilities and optimizing performance.

SAP HANA Data Modeling: SAP HANA Data Modeling involves designing and creating a logical representation of data in SAP HANA. It includes defining tables, relationships, and attributes to enable efficient data organization and retrieval. This skill should be measured in the test as it is essential for building robust and scalable data models to support business intelligence and analytics applications.

SAP HANA SQL Scripting: SAP HANA SQL Scripting involves writing SQL queries and scripts to manipulate and retrieve data in SAP HANA. It allows for advanced data processing and transformation capabilities, including aggregations, joins, and stored procedures. This skill should be measured in the test as a proficiency in SQL scripting is necessary for performing complex data operations and optimizing query performance.

SAP HANA Security: SAP HANA Security refers to the implementation of measures to protect the data and system integrity in SAP HANA. This includes user authentication, authorization, data encryption, and role-based access control. This skill should be measured in the test as ensuring effective security measures is critical to safeguarding sensitive information and preventing unauthorized access or data breaches.

SAP HANA Administration and Monitoring: SAP HANA Administration and Monitoring involves managing and maintaining the SAP HANA system, including installation, configuration, backup and recovery, and system performance monitoring. It ensures the smooth operation and optimal performance of the SAP HANA environment. This skill should be measured in the test as proficiency in administration and monitoring tasks is essential for maintaining the stability and reliability of the SAP HANA platform.

SAP HANA Integration: SAP HANA Integration refers to the ability to connect and synchronize SAP HANA with other systems and applications. This includes data integration, real-time replication, and integration with SAP and non-SAP systems. This skill should be measured in the test as seamless integration with other systems is crucial for leveraging the full potential of SAP HANA and enabling a unified data environment.

SAP HANA Performance Optimization: SAP HANA Performance Optimization involves identifying and implementing measures to enhance the speed, efficiency, and reliability of SAP HANA operations. This includes query optimization, index management, memory configuration, and system tuning. This skill should be measured in the test as the ability to optimize performance is vital for delivering fast and responsive data processing and analysis in SAP HANA.

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