Having the C_SAC_2120: SAP Analytics Cloud – Certified Application Associate certification shows that you have the technical skills required to successfully complete this exam. So in order to pass the interview round, you will have to prove your aptitude for this area of SAP and demonstrates your ability to be instructional helpful on a project team. Furthermore, a good understanding of the basic installation, upkeep, and enhancement tasks will demonstrate to the panel that you will be able to confirm these tasks for employers and clients. Additionally, if you want to revise the concepts and know about other preparation resources, you can go through the C_SAC_2120: SAP Analytics Cloud Online tutorial as well.
As you prepare for your job interview, you may be considering which questions the interviewer will ask you. While there’s no way to know exactly what topics will be covered, there are several popular interview questions you can expect to be asked. Here is a list of top C_SAC_2120: SAP Analytics Cloud Interview Questions. Let’s begin!
Advanced Interview Questions
Can you explain the architecture of SAP Analytics Cloud?
SAP Analytics Cloud is a cloud-based solution that provides a complete set of analytics tools, including data visualization, reporting, planning, and predictive analytics. The architecture of SAP Analytics Cloud is designed to provide users with a single platform that combines data integration, data analysis, and data visualization capabilities, making it easier for businesses to make data-driven decisions.
The architecture of SAP Analytics Cloud is divided into three main components:
- Data Management: This component is responsible for collecting and integrating data from various sources, including on-premises and cloud-based databases, as well as third-party data sources. Data is stored in a cloud-based data warehouse and is optimized for fast and efficient analysis.
- Analytics Engine: This component is responsible for performing complex calculations and data analysis, including predictive analytics and advanced data visualization. The analytics engine leverages the in-memory technology provided by SAP HANA to deliver real-time insights and analysis.
- User Interface: This component provides users with an intuitive, user-friendly interface that enables them to access, analyze, and visualize data. The user interface includes a suite of interactive dashboards, reports, and visualizations, as well as an easy-to-use data exploration and discovery tool.
Overall, the architecture of SAP Analytics Cloud is designed to deliver fast and efficient data analysis, while also providing a user-friendly experience for business users. With this architecture, organizations can easily integrate and analyze data from a variety of sources to gain insights that support decision-making and drive business growth.
What is the difference between SAP Analytics Cloud and SAP BusinessObjects?
I can tell you that the main difference between SAP Analytics Cloud and SAP BusinessObjects is the type of platform and the target audience. SAP Analytics Cloud is a cloud-based, all-in-one analytics platform for business users and teams, while SAP BusinessObjects is an on-premise solution for enterprise-level organizations.
SAP Analytics Cloud offers a more user-friendly interface, faster deployment times, and lower costs compared to SAP BusinessObjects. It provides a range of features including planning, predictive analytics, and visualization, all in one platform. On the other hand, SAP BusinessObjects offers a wider range of advanced analytics and reporting capabilities, but requires a larger investment and IT support.
In conclusion, the choice between the two platforms will depend on the size of the organization and its specific analytics needs. For smaller organizations with less complex analytics requirements, SAP Analytics Cloud may be a more suitable option, while larger organizations with more complex analytics needs may require the advanced capabilities of SAP BusinessObjects.
How does SAP Analytics Cloud integrate with SAP S/4HANA?
SAP Analytics Cloud (SAC) is a cloud-based platform that provides a complete suite of business intelligence (BI) tools and analytics solutions. It integrates with SAP S/4HANA to provide a single source of truth for all data-driven insights and decision making.
The integration between SAC and SAP S/4HANA leverages the SAP Cloud Platform (SCP) and SAP Cloud Connector to securely access data from SAP S/4HANA. The integration enables real-time access to SAP S/4HANA data, which can then be used in SAC to create interactive dashboards, reports, and predictive models.
SAC integrates with SAP S/4HANA through the use of SAP HANA data sources and live connections. This allows SAC to access data in real-time, providing up-to-date insights and decisions based on the most recent data. The integration also enables the use of SAP S/4HANA’s advanced analytics capabilities, including predictive modeling and machine learning algorithms.
In addition to the real-time access to data, SAC also provides a centralized platform for data management and governance. This includes the ability to define data access rules and control user access to sensitive data. SAC also integrates with SAP Lumira, allowing for seamless data visualization and exploration.
In conclusion, the integration between SAP Analytics Cloud and SAP S/4HANA provides a powerful platform for data-driven decision making. With real-time access to SAP S/4HANA data, advanced analytics capabilities, and centralized data management and governance, organizations can make informed decisions based on accurate and up-to-date data insights.
Can you walk us through the data modeling process in SAP Analytics Cloud?
Yes, of course! The data modeling process in SAP Analytics Cloud involves several steps:
- Data Connection: The first step is to establish a connection to the data source where your data resides. SAP Analytics Cloud supports a variety of data sources such as SAP HANA, SAP BW, SQL databases, and cloud data sources like Google BigQuery, Amazon Redshift, etc.
- Data import: Once the connection is established, you can import the data into SAP Analytics Cloud. You can choose to import the entire data source or just a subset of it.
- Data preparation: After the data is imported, you can perform various data preparation tasks such as data cleansing, data enrichment, data aggregation, etc. to ensure that the data is fit for analysis.
- Data modeling: This is the main step in the data modeling process where you create a logical model of your data. You can create calculated fields, dimensions, and measures to help you understand the data better.
- Publish the Model: Finally, you can publish the model to make it available for analysis in SAP Analytics Cloud. You can choose to share the model with other users in your organization or keep it private.
These are the basic steps in the data modeling process in SAP Analytics Cloud. The process can vary slightly depending on the specific requirements of your organization.
How does SAP Analytics Cloud support collaboration and data sharing?
As an SAP Analytics Cloud professional, I can say that SAP Analytics Cloud supports collaboration and data sharing through various features and functionalities.
- Sharing and Collaboration Workspaces: SAP Analytics Cloud enables users to share workspaces with other users, teams, and departments. This allows for real-time collaboration, data sharing, and data analysis within the shared workspaces.
- Access Control: SAP Analytics Cloud provides access control features that allow administrators to control who has access to the shared workspaces and what data they can view and edit. This helps maintain data security and privacy.
- Mobile App: The SAP Analytics Cloud mobile app enables users to access and collaborate on data from anywhere, anytime. This helps keep team members connected and informed, even when they are on the go.
- Notifications and Alerts: SAP Analytics Cloud provides notifications and alerts that keep users informed of changes and updates in the shared workspaces. This helps users stay up-to-date on the latest data and analysis.
- Embedding and API Integration: SAP Analytics Cloud provides embedding and API integration capabilities, allowing data to be shared across multiple platforms and systems. This helps create a seamless experience for users, who can access data from the systems they use every day.
In conclusion, SAP Analytics Cloud offers a comprehensive suite of collaboration and data sharing features that help organizations to work together effectively and efficiently. These features enable organizations to gain insights from data and make informed decisions, regardless of location and time.
Can you give an example of how you have used predictive analytics in SAP Analytics Cloud?
I have used predictive analytics in various projects. One such example is a project where I was working for a retail company. They were interested in predicting the sales for each of their stores for the upcoming quarter. To achieve this, I used the built-in predictive analytics capabilities of SAP Analytics Cloud.
First, I gathered the historical sales data for each store, including factors such as product demand, competitor activities, promotions, and holidays. Then, I used this data to train a machine learning model in SAP Analytics Cloud.
Next, I utilized the predictive model to generate sales forecasts for each store. The model considered various factors such as store location, store size, product offerings, and past sales performance.
Finally, I created a dashboard to visualize the results and shared it with the relevant stakeholders. This helped the company to make informed decisions regarding inventory management, staffing, and marketing efforts.
The predictive analytics capabilities in SAP Analytics Cloud made it easy to train a machine learning model and generate accurate sales forecasts. The results were well received by the company, and they were able to make data-driven decisions that improved their sales and profitability.
How does SAP Analytics Cloud handle security and access control?
As an SAP Analytics Cloud professional, I can confirm that security and access control are of utmost importance in SAP Analytics Cloud. The platform offers a robust and comprehensive security framework that ensures the protection of sensitive business data and the privacy of its users.
SAP Analytics Cloud utilizes a combination of user authentication, role-based access control, and data encryption to manage security and access control.
User authentication is implemented through Single Sign-On (SSO) integration with SAP Cloud Platform Identity Authentication service, or by utilizing a third-party identity provider. This ensures that only authorized users can access the system and its data.
Role-based access control is a fundamental aspect of SAP Analytics Cloud security. The platform provides predefined roles such as “Data Consumer,” “Modeler,” “Publisher,” and “Administrator,” with different levels of access to data, models, and the administration of the system. Additionally, custom roles can be created to meet specific business requirements.
Data encryption is another key aspect of SAP Analytics Cloud security. Data is encrypted in transit and at rest to prevent unauthorized access. Additionally, SAP Analytics Cloud complies with industry standards, such as the General Data Protection Regulation (GDPR) and the SOC 2 security standard, to ensure that sensitive data is protected.
In conclusion, SAP Analytics Cloud has a robust security framework that provides robust authentication, role-based access control, and encryption to ensure that data and user information is protected. As an SAP Analytics Cloud professional, I can confidently state that the platform is highly secure and offers an unparalleled level of protection for sensitive business data.
How does SAP Analytics Cloud support mobile access and offline capabilities?
SAP Analytics Cloud provides mobile access for its users through its native mobile application available for both iOS and Android devices. The application provides a streamlined experience for viewing and interacting with dashboards, stories, and predictive models on-the-go. The mobile app also supports offline capabilities, allowing users to access and interact with their content even when they don’t have an internet connection.
To enable offline access, users must first download the required data to their device. This is accomplished by selecting the content they want to make available offline, and then tapping the “Download” button in the app. Once the data is downloaded, users can access and interact with it even when they don’t have an internet connection. When the device regains an internet connection, any changes made in offline mode are automatically synced with the cloud.
SAP Analytics Cloud’s mobile app also provides offline data refresh capabilities, allowing users to schedule regular data updates to ensure that their offline data remains current. This is especially useful for scenarios where internet connectivity is limited or unreliable, as it ensures that users always have access to the most up-to-date information.
In summary, SAP Analytics Cloud’s mobile application provides robust offline capabilities, making it easy for users to access and interact with their content on-the-go, regardless of internet connectivity. This enhances the user experience and allows users to be more productive and make informed decisions even when they are away from their desks.
Can you explain how you would approach troubleshooting an issue in SAP Analytics Cloud?
As an SAP Analytics Cloud Professional, my approach to troubleshooting an issue in SAP Analytics Cloud would involve the following steps:
- Gather information: The first step is to gather as much information about the issue as possible. This includes details about the problem, such as when it started, what the error message is, and any relevant details about the environment and setup.
- Review documentation: SAP provides a wealth of documentation and resources that can help resolve many common issues. I would review the documentation to determine if the issue has already been documented and a solution provided.
- Check system logs: SAP Analytics Cloud keeps a detailed log of all system events, including any issues that may have arisen. Reviewing these logs can help to identify the root cause of the issue.
- Reproduce the issue: To better understand the issue and its root cause, I would try to reproduce the issue in a test environment. This will help me to understand the steps required to replicate the issue and hopefully identify any potential solutions.
- Collaborate with SAP support: If I am unable to resolve the issue on my own, I would engage with SAP support for assistance. They can provide additional information and support, including access to tools and resources that may be helpful in resolving the issue.
- Implement solution: Once the root cause of the issue has been identified, I would work to implement the appropriate solution, whether it be a configuration change, an update to the software, or some other action.
- Verify resolution: After implementing the solution, I would verify that the issue has been resolved and that the system is functioning as expected.
In conclusion, troubleshooting an issue in SAP Analytics Cloud requires a systematic approach, involving a combination of information gathering, documentation review, system log analysis, issue reproduction, collaboration with SAP support, and verification of the resolution. By following this approach, I can ensure that I am able to effectively troubleshoot any issues that may arise in SAP Analytics Cloud.
Basic Interview Questions
1. Could you highlight the main components of the SAP Analytics Cloud?
SAP Analytics Cloud is the product of the evolution of the SAP Cloud for Planning product, released in February 2015. Therefore, along with business planning, there are other key components. These are:
- BI (for the purpose of reporting, dashboarding, data discovery, and also visualization)
- Predictive analytics
- Governance, risk, and compliance (GRC)
2. Could you elaborate on the capabilities of SAP Analytics Cloud?
SAP Analytics Cloud (SAC) has all the capabilities of SAP BusinessObjects Business Intelligence (BI), plus predictive analytics, in a single solution. Not only that, but SAC also includes planning and forecasting capabilities, as well as many other features.
3. What all analytical processes does the SAP Analytics Cloud offer?
All the cloud analytics features that one needs are offered in a single solution. These include –
- Business intelligence (BI)
- Augmented analytics
- Predictive analytics
- Enterprise planning
4. What are the main strategic differentiators of SAP Analytics Cloud?
Essentially, the SAP Analytics Cloud’s Augmented BI strategy envisions very intelligent algorithms that automatically generate insights for all end-users. This in turn saves end-users from creating visualizations and dashboards manually and also automates the creation of considerably meaningful content.
5. Do you know which machine learning algorithm is generally used with the SAP Analytics Cloud?
There are three types of machine learning algorithms, namely, classification, regression, and time-series analysis that is used for automating sophisticated predictive analysis and augmenting the BI experience with much more data and insight.
6. What is smart Predict in SAP Analytics Cloud?
Smart Predict, an advanced predictive feature, has been developed using inbuilt machine learning algorithms. By selecting your scenario, you can train the model with the past information you have available and study the output data to explore various potentialities.
7. How would you define the digital boardroom in SAP Analytics Cloud?
The digital boardroom is an application for real-time executive presentations that SAP provides to business leaders. This cloud platform is the basis for EY’s accountancy software, which it customizes to all sectors of business from any industry, giving each company easy access to real-time data about its purchases. Further, for using this feature, you must necessarily have a single user license of the BI user, predictive, planning standard, or planning professional type.
8. What are the key features of the digital boardroom?
The SAP Digital Boardroom helps board meetings become immersive and customized experiences that tell the story behind data.
- Firstly, real-time data access with cloud deployment.
- Second, seamless integration of data across all sources.
- Also, simulate outcomes with an interactive touchscreen.
- Last but not least, leverage pre-built line-of-business templates.
9. What do you know about the SAP Analytics Hub?
SAP Analytics Hub is a new cloud-based solution designed to help companies solve the problem of limited analytics adoption among business users. The solution was created to make more business users aware of the many benefits of using analytics, with the aim of increasing the number of end-users taking advantage of data to make better business decisions.
10. Could you highlight the key capabilities of SAP Analytics Hub?
- Business Intelligence
- Augmented Analytics
- Enterprise Planning
- Design of Analytics Applications
- Centralized Analytics Catalog.
11. What is the core function of business analytics in SAP Analytics Cloud?
In an intelligent enterprise, Business Intelligence, Planning, and Predictive Analytics are key components of SAC. Here, the SAP Analytics Cloud serves as a holistic software-as-a-service solution.
12. Could you explain the purpose of SAP Analytics Cloud planning?
SAP Analytics Cloud for Planning is a leading planning and forecasting application that will help you forecast budgets, allocate resources, and set strategic goals. It provides analytics to evaluate your current financial situation and determine how to best position your business for future growth.
13. What can you do in an analytic application?
Analytic apps are pre-packaged business intelligence capabilities that allow end-users to measure and improve operational performance by using the transactional systems they use for their daily work. Analytics apps provide instant, self-service insights to help users track and improve operations.
14. How would you describe stories in SAP Analytics Cloud?
In SAP Analytics Cloud, a story is simply where one can bring data and visualizations together in order to tell the story of one’s business or organization. This feature greatly helps in discovering insights hidden within one’s data. Moreover, a story can also be referred to as a dashboard.
15. What is SAP Analysis for Microsoft Office?
SAP Analysis for Microsoft Office, which is an edition for the SAP Analytics Cloud, is essentially a Microsoft Office Add-In allowing a multidimensional analysis of all the data sources in Microsoft Excel and in the MS Excel workbook application design as well. Also, it is available for Office 365 (Excel) as well.
16. What do you know about the SAP analytics designer?
SAP analytics designer is a feature that enables analytics application designers in creating centrally governable analytic content, that can range from guided analytics dashboards to even sophisticated planning and smart applications.
17. What is the data model in SAP Analytics Cloud? How many types of Models are available in SAP Analytics Cloud?
In SAP Analytics Cloud, you can use data models to edit your data and prepare it for analysis. In addition, you can bulk edit your data, define categories and set hierarchical relationships, and create custom formulas. There are two types of models in this tool: the analytical model and the planning model.
18. Could you tell me something about the smart prediction in SAP Analytics Cloud?
SAC’s Smart Predict feature predicts outcomes based on historical data. After you create a scenario, you train the predictive model by feeding data from your data source. The algorithm uses machine learning to study the input data and provides a prediction for various possibilities.
19. What is meant by the term SAP system landscape?
An SAP system landscape is made up of technology components called systems. Ideally, a three-system landscape exists in an SAP environment, with development (Dev), production (PROD), and quality assurance (QAS) servers.
20. Could you tell to what does the SAP Analytics Cloud integrates with?
One can easily fetch data from Microsoft SQL, ERP solutions, and even Salesforce. Further, all business users can even compile the data, perform data discovery, ad-hoc reporting, and analysis to support predictive planning.
21. What access permission can be given for sharing a model in SAP Analytics Cloud?
Models can be shared in a similar way as stories and folders. In the sharing dialog, one can decide the access level for different users or teams. These access levels include View, Edit, Full Control, or a Custom access level.
22. What are three collaborative capabilities that users can leverage within SAP Analytics Cloud?
- Make better business decisions, together.
- Creating Teams.
- Calendar.
- Notifications.
- Discussions.
- Comments.
- Schedule Publications.
23. How many system owners can be possible in each SAP analytics cloud tenant?
The tenant supports a maximum of up to 50 named users.
24. Which programming languages can you use with SAP Analytics Cloud analytics designer?
The scripting language used in Analytics applications is JavaScript. Web browsers execute the script, which has no special formatting. You use the Web browser’s built-in engines, so you don’t have to install anything.
25. What are the benefits of SAP Analytics Cloud?
SAP Analytics Cloud is an efficient feature that offers several advantages, including saving both time money for decision-makers along with mitigating risk with easy-to-access real-time information. Moreover, accurate forecasts can also be made to utilize corporate resources.
26. Where is SAP Analytics Cloud hosted?
SAP Analytics Cloud is hosted in the SAP Data Centers (NEO). You just have to select System, and then Administration from the main menu.
27. Which license types can you use to access SAP Analytics Cloud?
A single role can utilize either of the below-mentioned license types:
- Analytics Hub.
- Business Intelligence.
- Planning Standard.
- Planning Professional.
28. Why would you use the SAP Analytics Cloud Add-in for Microsoft Office instead of the SAP analysis edition for Microsoft Office?
The SAP Analytics Cloud (SAC) add-in for Microsoft Office allows users to gain deep insights from data in SAC using the familiar functionality of Excel. Users can leverage existing skills and gain flexibility in reporting and planning processes.
29. What type of subscription is needed to use SAP Analytics Cloud Add-in for Microsoft Office?
You can make use of the SAP Analytics Cloud for Microsoft Office with Excel for Web on Windows and Mac. The add-in requires one of the following versions connected to a valid Microsoft 365 subscription: Excel 2016 or higher in Windows or Excel 2016 or higher on Mac.
30. Is SAP Analytics Cloud Public or private?
SAP Analytics Cloud is available in two modes, Private and Public editions. Both these modes are hosted, but the Private version hosts only one customer, while the Public edition is multi-tenanted.
Expert’s Corner
Taking practice tests helps you become better prepared for the C_SAC_2120: SAP Analytics Cloud exam. The more you do, the more you’ll get to know about what to expect on the real test. And that will make both you and your exam experience happier. Moreover, you’ll avoid making mistakes that you might otherwise have committed if you’d been unprepared on test day. After all, how much fun is it to make mistakes? Do yourself a favor and take the C_SAC_2120: SAP Analytics Cloud Free Practice Tests Now!
