In this article, you’ll get a clear and simple overview of common questions you might face in SAP SAC Interview. Whether you’re preparing for your first interview or just need a refresher, this guide is all bout helping you feel prepared and ready to shine.
1. What are The Data Sources for SAC?
SAC supports a wide variety of data sources, which let users connect, visualize, and analyze data from various data sources. The data sources could be mainly SAP and non-SAP data sources, flat files, and cloud applications and other data warehouses.
SAP Datasources: Multiple SAP Datasources include SAP HANA, S/4 HANA, BW/HANA, SAP BO Universe, SAP Datawarehouse cloud, ERP, Concur, Ariba, Successfactor, Fieldglass, C/4 HANA, etc.
Non-SAP Data sources: Data sources such as Amazon Redshift, Google BigQuery, SQL Database, Microsoft Azure, Hadoop, Odata, etc.
Flat Files, which includes CSV/Excel Files or Google Sheets.Cloud applications, which include Workday, Salesforce, Google Drive, and Qualtrics etc.
Datawarehouses & datalakes include Amazon S3, SAP DWC, and Microsoft Azure. blob storage.
Custom sources, other sources, third-party business applications.
All these are important data sources available in SAP SAC.
2. Does SAP SAC Cloud Store the Data as Well?
Yes, SAC stores the data, but it depends on the type of data connection, like be it live data connection or import data connection.
If the type is import data connection, then SAC physically stores a copy of data in its own cloud storage.
The stored data is typically limited by size. SAP SAC also stores the planning data within the given cloud environment.
Users can easily modify the plan data once it gets stored in the SAC Database.
Though if the data is connected via live data connection, then the data is not stored in the SAC database at all.
The data remains in the source, and SAC fetches the dataset as and when required.
For analysis SAC primary focus is to provide the data for analysis and reporting purposes.
3. What is the architecture of SAP Analytics Cloud?
SAC is a cloud-based BI model that integrates various solutions, including data analytics, predictive analysis, and planning capabilities.
Users can easily get this amazing experience of data discovery and decision-making. & virtualization, through this amazing architecture.
Its core components include:
- Data Connectivity Layer: From various multiple data sources, the integration of data happens here.
- Both live data connections and import data connections are supported.
- Modeling layer where the data is transformed and structured.
- Visualization & Analysis layer, which is reporting, dashboard creations & visualization.
- Stories can be created to visualize the data via various chart types and tables.
- Collaboration layer, which includes sharing of user insight and multiple collaborations on data analysis and discussing findings.
- Security layer, which is used to manage roles, permissions, and security settings.
Underlying technology used in the architecture of SAC includes:
- SAP Cloud Platform to get the foundational cloud infrastructure, HTML5 and Javascript for providing a browser-based responsive user interface and HANA In
- Memory DB, which helps in high-performance data processing. When it comes to deployment and integration, it is hosted on a cloud-based platform is integrated with various SAP and non-SAP products. It also supports third parties system, making it versatile tool for various organizations in different IT Landscapes.
SAC architecture helps in providing comprehensive solutions to ensure scalability offer flexibility.
4. How do i export a chart from SAP Analytics Cloud and in which format?
You can export charts and visualizations through the stories (dashboards) while doing various further analyses.
- Open a story and choose the chart that you want to export.
- Right-click on the selected chart and open the “more action; button.
- There you can click on the export or download option.
- There could be multiple export options, which are csv, excel, PowerPoint, pdf, and Image.
- Then you can download the file as per the naming convention we required.
While doing the exporting, you will also do manual customizations like selecting the size of the specific pages or adjusting the layouts are required.
The audience can choose the settings that are best suited for their further analytical needs.
5. What is the concept of Augmented Analytics in SAP SAC?
When various advanced technologies, such as machine learning, AI, and NLP, are being integrated together and help enhance the analytical processes, then the process is known as augmented analysis.
In SAC, the concept of smart insights, where SAC can automatically generate the insights by analyzing the data patterns, is one of the key concepts of SAC.
Smart Discovery is another key concept where users can automatically explore the datasets and understand all the relationships and outliers between the datasets.
NLP-created queries can be used by the users to interact with the data, and instant results can be provided.
The data can be segmented automatically based on various kinds of patterns. AI-driven recommendations can be used for further exploration and easy user interaction.
All these features are included in augmented analysis. There are various benefits to it, which include:
- It empowers the business users by speeding up their data analytics and decision-making process.
- It also helps in increasing the analytic accuracy and reducing bias while interpreting the correct data set using data-driven technologies.
Explore our other parts of this SAP SAC interview questions and answers to prepare for your next interview.