Introduction
SAP HANA is a unique, in-memory database that simplifies data modeling compared to traditional databases. It is column-oriented and integrates both OLAP and OLTP operations into a single system, making it an OLTAP system. This architecture enhances performance and efficiency in data processing and analytics.
This article covers some common SAP HANA Interview Questions. You've come to the right site if you're looking for SAP HANA Interview Questions for Experienced and Freshers.
These SAP HANA Interview Questions were explicitly created to familiarise you with the types of questions you can encounter during your SAP HANA interview.
Commonly Asked SAP HANA Interview Questions
1. What exactly is SAP HANA?
HANA, which stands for High-performance Analytical Application, is one of the most effective Database management solutions. It can be integrated directly into ERP systems. Users in this method can consider the frontend modelling for the replication centre. Furthermore, it is one of the best solutions for server load control and administration.
2. What is the purpose of the SAP HANA persistent layer?
SAP HANA uses an in-memory processing engine to access data without needing a backup. To avoid losing data in the event of a hardware breakdown or a power outage, the persistence layer saves the day by storing all data on a non-volatile hard drive.
3. Explain what a modelling studio is.
In HANA, the modelling studio performs a variety of tasks, including
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Declares which tables are stored in HANA; the initial step is to obtain meta-data, and then data replication operations are scheduled.
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To enter data from SAP Business Warehouse and other systems, use Manage Data Services.
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Manage ERP instance connections; the current release does not allow for multiple ERP instances to be connected.
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For modelling, make use of data services.
- Modelling in HANA is required for SAP BO data services licences.
4. Describe the various compression strategies available.
There are three types of compression techniques available.
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Cluster encoding
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Encoding for the length of a run
- Dictionary encoding
5. Explain what latency is.
The time it takes to replicate data from the source system to the target system is referred to as latency.
6. What are transformation rules, and how do you explain them?
The transformation rule specifies how data is transformed throughout the replication process for the source table in the advanced replication setting transaction.
7. Explain why SLT replication is beneficial.
SAP SLT uses a trigger-based method, which has no demonstrable influence on the source system's performance.
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It has filtering and transforming capabilities.
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It provides real-time data replication from non-SAP and SAP source systems into HANA, replicating only related data.
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It's compatible with HANA studios.
- It is possible to replicate data from many source systems to a single HANA system and from one source system to numerous HANA systems.
8. What is SAP HANA Information Modeler? Q.17 What is SAP HANA Information Modeler?
Information Modeler allows us to create information views or models based on tables in the SAP HANA database. Models like this are made to support business logic and operations. They're built right on top of the HANA database layer.
The information modeller offers the user an interface and tools for selecting attributes and measures from database tables, allowing them to generate different information views from the physical tables of transactional data stored in the databases.
The information views are a logical representation of the data that can be published or used for analysis. SAP HANA Studio's SAP HANA Modeler view is used to implement information modelling.
Note: These kinds of our questions are very frequently asked when it comes to Sap Hana interview questions
9. What is the difference between Information Modeler and Information Composer?
The two are distinct from one another in terms of intended users. Technical users with essential data modelling requirements and technical competence should utilise SAP HANA Information Modeler.
They may create attribute views, analytic views, calculation views, processing models, data management and administration, data loading, and import/export tables, among other advanced modelling processes.
On the other hand, information composer is designed for non-technical users who aren't IT or data science professionals (with no database or modelling knowledge).
Non-technical users will benefit from the information composer's user-friendly interface, animations, reminders, and ideas for modelling and reporting.
10. What are the three categories of information views?
The following are the three types of information views:
1. Take a look at the attributes view.
Attribute views develop views and models based on business logic using attributes, or non-measurable, non-quantifiable data.
As a result, the data in the attribute view is referred to as 'Master data,' as it is utilised as a reference in other views (analytic and calculation). In the attribute view, there are no facts or measures in the tables.
2. A critical viewpoint
We can design star schemas in an analytical view, consisting of a central transaction or fact table and numerous dimension tables linked to it via primary keys. Only the primary transaction table has the measures, which can be combined or connected with different dimension tables.
3. Calculation point of view
A calculation view is a sophisticated model that combines attribute and analytic view parts to create a complicated data model that follows complex business logic.
It allows us to mix and match various alternatives such as tables, column views, analytic views, attribute views, etc. It allows us to create multidimensional reports by combining measurements and dimensions from many sources.
Note: This is a frequently asked SAP HANA interview topic.
11. Why is it necessary for businesses to invest in a relational database management system (RDBMS) now?
The importance of data management cannot be overstated. In today's world, data plays a critical part in practically every business's success. Data is helpful in making decisions, collaborating, launching new companies, combating competition, and enhancing quality, among other things. There is a slew of additional factors that must be considered for the firm to function well. As a result, data management is critical.
12. Which SQL command can be used to increase data visibility in a database?
Benefits from DCL can be used to do this.
13. When choosing a Relational Database Management Tool, what should you check for?
Some things are extremely important. The requirements can differ from one company to the next. The following are a few of the essential variables to consider.
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It should be appropriate to our needs and provide a pleasant experience.
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The assistance must be adaptable to a variety of formats.
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There should be no limit to the amount of data that may be handled.
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The tool should be capable of maintaining data privacy and security.
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For data administration, there must be certain defined filters.
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The total cost of ownership of the tools.
- Specifications for configuration and upkeep.
Note: These kinds of our questions are very frequently asked when it comes to Sap Hana interview questions