IBM Data and AI Fundamentals L1 Quiz

Question: Which one of the following offerings is available as a Cloud Pak for Data Cartridge?

Question: You're talking to a client that is interested in a new license for a Data and AI standalone product (for example, Db2, DataStage, Cognos Analytics, or Planning Analytics). For a net new license, what should you propose?

Question: Despite 80% of enterprises planning to adopt generative AI, so far 60% of leaders rarely or never use it for commercial activities. How is Adobe partnering with IBM to go beyond the buzz of generative AI?

Question: Enterprises are consuming foundation models and generative AI through three models. Which model offers the simplest integration, but the comes with the cost of having the least control over the data and models?

Question: The CIO of a banking client is hesitant to invest in analytics because of the experiences with a big data project that didn't deliver enough value at the last bank they worked at. You share the IBM Institute for Business Value (IBV) study. According to this study, what are companies that are “data driven” 178% more likely to do?

Question: High quality data is integral in order to be used to train foundation models. Which type of data, which has not been tagged with characteristics, properties, or classifications, is needed in large amount for training?

Question: You're talking to an existing client (after July 2024) and notice that they have an upcoming Support and Subscription (S&S) renewal of a legacy product that is now a part of Cloud Pak for Data. What should you propose?

Question: Building and deploying a sustainable data fabric architecture has a set of challenges for the people, processes and technology within an organization. Which of the following examples does NOT represent an adoption challenge?

Question: As an IBM Seller or Business Partner, you want to configure a Modernization Upgrade bid. What tool should you use?

Question: Which one of the following is NOT a base service in Cloud Pak for Data?

Question: As you’re whiteboarding a generative AI strategy session with an enterprise client’s IT operations team, which use case might you point them to if they’re looking to assure continuous, cost-effective performance and connectivity across applications?

Question: What technology enables Cloud Pak for Data's hybrid cloud strategy, providing deployment flexibility to run anywhere?

Question: Your client has adopted AWS (Amazon Web Services) as their strategic cloud platform. However, they have a longstanding investment in IBM data management software, like Db2 and DataStage, and want to minimize disruption for the business reporting applications that depend on this data stack. The client decides to deploy Cloud Pak for Data on Red Hat OpenShift Service on AWS (ROSA); ROSA is a fully managed OpenShift solution. Which of the following deployment patterns is your client using for CP4D?

Question: You are talking to a client who wants to run a data platform on a public cloud that is fully managed and pay for only what they use. Which deployment method of Cloud Pak for Data should you propose?

Question: Of the proven high impact use cases for generative AI, what are some examples of the benefits which have led to a 40% improvement in HR productivity?

Question: Your client is about to purchase a three-year subscription to Cloud Pak for Data as a Service. Their usage varies considerably from month-to-month, so they are concerned about what happens with their unused credits in months where their usage is light. Which one of the following answers represents the correct consumption-based pricing model for Cloud Pak for Data as a Service?

Question: A client is describing the challenges their IT department has in architecting data analytics solutions for their data science team. They are under strict regulatory control to keep ALL their data within their country, but they also need to support a data-driven customer experience through mobile apps. Your client is not in a country with a public cloud provider's data center. Which one of the following offerings for self-service data analytics and data science do you propose to your client?

Question: Which section of IBM’s generative AI technology stack is a platform designed to scale and accelerate the impact of AI by infusing intelligence into business operations?

Question: A client is in the process of modernizing their environments using a containerization strategy for their in-house applications and licensed software. They are talking to you about "shared entitlement" for the Cloud Pak for Data Cartridges they purchased, but seem confused about what it allows them to do. How would you describe the deployment options available through the shared entitlement of their Cloud Pak for Data Cartridges?

Question: An existing IBM client with analytics software is listening to you talk about Cloud Pak for Data, and asks for a quick summary of its benefits from a packaging and licensing perspective. How do you respond?

Question: When meeting with a prospect, how would you best describe Data as a Product?

Question: Cloud Pak for Data is IBM's flagship offering for the data and AI-related market. Which one of the following descriptions of Cloud Pak for Data is most complete and correct?

Question: A client wants to purchase Cloud Pak for Data but does NOT want to manage the underlying microservices and infrastructure. They just want to focus on getting value out of their data. What offering should you recommend to them?

Question: Which one of the following is NOT an IBM Data Integration service within the data fabric strategy?

Question: IBM has four core principles to tailor generative AI for the enterprise. Which principle focuses on providing a platform for enterprises to bring their own data to tune, train, and deploy generative AI models?