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Sap Hana Interview Questions And Answers Pdf

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Top 50 SAP HANA Interview Questions And Answers Pdf

Well, you are the right place. The questions are suitable for beginners as well as advanced learners. Stay updated with latest technology trends Join DataFlair on Telegram!!

The reasons for uniqueness are:. SAP HANA is a technology that is a collection of different tools and technologies that work in tandem to bring it in existence. In the in-memory computing, a huge amount of data as the information is stored in the Random-Access Memory RAM instead of external storage disks. This technology replaces the traditional way of storing data in disks and uses relational database management methods to fetch and process the data.

In-memory computing technology is much cheaper and faster than the traditional database system. Applications in SAP HANA are developed in close association with the database and there is close to no data movement involved from the database to the system. SAP HANA keeps a primary copy of the data ready in in-memory storage which results in data access and processing for ad-hoc reporting, analysis of data in real-time, and quick query response.

Also, it reduces data complexity, data redundancy, data footprint, hardware and IT costs. In-memory computing engine: This is a component residing within the Index Server.

This component provides log-based data provisioning. We use the components for job-based data provisioning. They design and implement a job on data and store the reports created in the form of a result. Therefore, it also acts as a repository. We can work on several views like Attribute, Analytic, and Calculation. Clients: These are miscellaneous reporting tools which we can connect to the computing engine by utilizing specific drivers.

We can design and share reports by utilizing these tools and client applications. Prepare it nicely. The replication server is responsible for managing the replication of table data as well as metadata from the data source. The persistence layer is mainly responsible for processing data backups periodically and storing it permanently. The data stores as log volumes and data volumes. It has the data storage and processing engine.

Then, the queries are processed by different components and servers within it. Index server also manages the transactions and authentications.

It also has a component that manages transaction logs and selectively stores data. In addition, the index server is further divided into smaller components like relational data engine, session manager, authorization management, planning engine, calc engine, and persistence layer.

It contains information related to the name and location of the HANA components. This server manages and monitors the topology of all the distributed servers or nodes. It increases the processing time by decreasing the re-indexing process as it keeps the information on what data stores in which server. Pre-processor server: Pre-processor server is a text analyzing server which processes textual data. The service provided by this component is used during text search.

Whenever a request initiates, this server processes textual data and provides it to the user. We can update the old version to the latest ones with the help of this. It has the data storage having the actual data component and a processing engine. These queries are processed by different components and servers within the index server.

Row storage is the method of storing data in a horizontal fashion. It is similar to how data is stored traditionally in disk databases. That is, in SAP HANA, data is stored in rows in the main memory and in traditional databases, data is stored in rows in the disk storage. Data is compressed efficiently in column stores. Data is stored in the column storage area which is divided into two sections; Main storage and Delta Storage. Some commonly used perspectives are:. We can monitor several aspects through the SAP HANA system monitor such as the alerts, disk space, log disks, trace disk, data disk, memory, performance, volume, etc.

Thus, it is convenient to manage individual aspects, tasks, and components. Such models are created to serve a business logic and operation. They are generated directly on top of the HANA database layer. The information modeler provides the interface and tools to select attributes and measures from the database tables so that the user can create multiple information views using the physical tables of transactional data stored in the databases.

The information views are a logical representation of the data which can be further published or consumed for analytical purposes. The two differ from each other based on target users. Whereas, information composer is made for non-technical users who are not IT and data science experts with no database or modeling knowledge.

The information composer is so designed that it aids non-technical users with user-friendly interface, animations, hints, and suggestions for modeling and reporting. Attribute view uses attributes, or the non-measurable, non-quantifiable data to design views and models according to the business logic.

The tables in attribute view do not contain any facts or measure. In an analytic view, we can create star schemas, having a central transaction or fact table and multiple dimension tables linked to it via primary keys. The measures are contained only in the central transaction table which can be grouped or joined with multiple dimension tables. Calculation view is an advanced model which uses both attribute and analytic view elements in it to make a complex data model following complex business logic.

It gives us the freedom to combine and create from a range of options like tables, column views, analytic views, attribute view, etc. It enables us to do multidimensional reporting using measures and dimensions from different sources. Inner join: The inner join joins the left and right tables with only matching records. That is, only that part in both tables that coincides displays. Inner joins are very useful while creating information models as we can use it to join tables in attribute views.

Left outer join: The left outer join combines the entire left table with only the matching records from the right table. Right outer join: The right outer join combines the entire right table with the matching contents in the left table. We rarely use the right outer join in real scenarios.

It returns NULL in place of values which do not find an association with the records in the right table. The cells which are not able to find any association with the other table are left NULL. Referential join: Referential joins are like inner joins but with a condition of keeping the referential integrity intact. We use it whenever there is a primary key and foreign key association between two tables. And, referential integrity is when for every value in the foreign key column, there is a reference value in the primary key column of the master data table.

From a performance point of view, referential joins are better than inner joins. Referential joins are necessary for star schemas as long as referential integrity maintains. Text join: Text join provides a description of text records in the language specific to the user. If user A selects the language as German, then all the details regarding the table and columns will display to the user in German.

We use text joins for joining a text table with a master data table. Analytic privileges provide row-level data security to SAP HANA users on contrary to object-level security which the object privileges assign. Thus, it restricts users to see only a selected section of data from the entire data set. Packages are folders which contains all the modeling related data objects. The design-time objects such as information views, sub-packages, procedure, analytic privilege reside in a package.

Schemas are like containers containing all the different elements or objects of a relational database. Do you know? A relational connection establishes when the user needs to access conventional data tables. On the contrary, if we need to access multi-dimensional data cubes, then we need an OLAP connection.

It is a direct connection to the business layer of the data model as opposed to the relational connection which is an indirect connection. Referential join is the default join type in HANA modeling. A referential join is very similar to an inner join. The only difference between the two is referential integrity must be ensured in the case of referential join otherwise it cannot be formed. Referential join forms between a fact table transaction data or analytic view and a master data table attribute view.

Every master data table has a primary key column which acts as a foreign key in the fact table. We use referential joins whenever there is a primary key and foreign key association between two tables.

Packages contain the information models. Thus, the Content node mainly contains packages created by users. The second method is a GUI based method where we use a graphical interface to create a table. This driver is specifically for multi-dimensional reporting multi-dimensional data stores and it communicates through MDX language.

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100 [UPADTED] SAP HANA Interview Questions and Answers pdf for Experienced Freshers

Wisdom jobs will provide you with the list of subject-specific questions frequently asked during the interview. SAP HANA which is a high-performance analytic appliance is an application that is used in in-memory database technology that permits the processing of enormous quantities of real-time data in a short period. For experience related questions and personal profile related questions please refer our SAP HANA job interview questions and answers page. Question 1. Mention What Is Sap Hana? Question 2.

HANA supports both type of data store in database. Row store is used when you need to use Select statement and no aggregations are performed. Index server contains engine to process data in HANA database. Index server also contains Session and Transaction Manager which is responsible to manage all running and completed transactions. Persistence layer provides inbuilt mechanism for disaster recovery in HANA system.

Top 15 SAP HANA Interview Questions & Answers

Answer: The SAP Collections Insight web and mobile apps give you access to rich, dynamic account profiles and enable real-time analysis of payments and payment trends across years of data. With Collections Insight, sales and service teams can support collections activities with access to dashboards and collaborative tools to help manage, track, quickly resolve collections issues, and get paid on outstanding accounts faster. How is the solution delivered? This leads to radical reductions in capital expenditure and quicker innovation cycles.

HANA Interview Questions

To avoid the risk of losing data in case of hardware failure or power cutoff, persistence layer comes as a savior and stores all the data in the hard drive which is not volatile.

300+ TOP SAP HANA Interview Questions and Answers

It is important to grasp the architecture, principles, techniques and the framework of designing such software. We focus on making you comfortable by providing the necessary terminology and questions, which can be asked in the interview. After being familiar with these questions, you will surely be able to handle the questions asked in the interview. Not just this but knowing these questions will also increase your confidence level. Also, read about the different edition which are available and what advantage does it has. For replication server management and load control, Frontend modeling studio is available for use. BWA is particularly designed to accelerate BW queries and also for reducing the data acquisition time by persisting the copies of the info cube.

There are a lot of opportunities for many reputed companies in the world. HANA stands for High performance Analytical Application and is one of the best available tools for database management. It can directly be linked to ERP systems. It is possible for the users to consider the frontend modeling for the replication center in this approach. In addition to this, it is one of the best available tools for load control and management in the server. Normalization is nothing but the process that is adopted for the purpose or removing the redundant data from the database. This is generally done by splitting the table into different sections.

What are the different types of replication techniques? Trigger based replication using SLT 3. Extractor based data acquisition using DXC. What is SLT? SLT replication server is the replication technology to pass data from source system to the target system. Is it possible to load and replicate data from one source system to multiple target database schemas of HANA system? It is possible for up to 4.


Top 50 SAP HANA Interview Questions And Answers Pdf. 1. Can an SAP HANA One backup be restored into an on-premise instance of SAP HANA? Answer: Yes​.


To avoid the risk of losing data in case of hardware failure or power cutoff, persistence layer comes as a savior and stores all the data in the hard drive which is not volatile. Latency is referred to the length of time to replicate data from the source system to the target system. Transformation rule is the rule specified in the advanced replication setting transaction for the source table such that data is transformed during the replication process. To avoid un-necessary information from being stored, you have to pause the replication by stopping the schema-related jobs. If the replication is suspended for a longer period of time, the size of the logging tables increases.

SAP HANA Interview Questions & Answers

Well, you are the right place. The questions are suitable for beginners as well as advanced learners.

These authentication methods methods are configured while creating user profile. But there are some exceptions :. Please navigate transaction se16 table PA and Pa and checks for inconsistency and if there is any inconsistency remove it and error would be solved.

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30 Frequently Asked SAP HANA Interview Questions – Best Preparation Guide

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1) Mention what is SAP HANA? 2) Mention the two types of Relational Data stored in HANA? 3) Mention what is the role of the persistence layer in SAP HANA? 4) Mention what is modeling studio? 5) Mention what are the different compression techniques? 6) Mention what is latency? 7) Explain what is transformation rules?

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