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57. Frage
Choose the INCORRECT statement for Industry Architect.
Antwort: D
Begründung:
The incorrect statement is B because it describes DevOps, not an Industry Architect. A collaborative approach that bridges development and operations teams is the core idea of DevOps, where software development, IT operations, automation, continuous integration, continuous deployment, monitoring, and delivery practices are aligned to improve speed and reliability.
An Industry Architect, on the other hand, focuses on designing technology and business solutions for a specific industry or vertical, such as healthcare, finance, retail, manufacturing, or telecommunications. This role requires strong domain knowledge, awareness of industry regulations, understanding of business processes, and the ability to translate industry-specific requirements into practical technical solutions. Industry Architects work with executives, subject matter experts, business teams, and technology teams to ensure that solutions meet business goals and industry expectations. Therefore, options A, C, D, and E correctly describe the Industry Architect role, while B is the incorrect statement.
58. Frage
What is solution architecture?
Antwort: C
Begründung:
Solution architecture is the structured design blueprint that explains how a business or technology solution will be built, integrated, operated, secured, and scaled. Option A is correct because solution architecture guides development and implementation by defining components, workflows, integrations, platforms, data flows, and technical decisions. Option B is also correct because a complete solution architecture considers the whole system, including infrastructure, networking, security, compliance, operations, cost, performance, and reliability. These elements are necessary to ensure that the solution can work in a real enterprise environment.
Option C is also correct because solution architecture does not only address current business requirements. It also supports future growth by planning for scalability, maintainability, adaptability, and long-term business success. Since all three statements accurately describe solution architecture, the most complete and correct answer is E. a, b and c only .
59. Frage
Which of the following is NOT a common supervised learning model/algorithm?
Antwort: B
Begründung:
The correct answer is E. None of the above because K-nearest neighbors, random forest, and decision trees are all common supervised learning models or algorithms. Supervised learning uses labeled data to train a model so it can predict an output label or target value for new data.
K-nearest neighbors is a supervised learning algorithm commonly used for classification and regression. It predicts outcomes by comparing a new data point with the most similar labeled examples in the training data.
Random forest is also a supervised learning algorithm. It builds multiple decision trees and combines their results to improve prediction accuracy and reduce overfitting. Decision trees are supervised models that split data based on feature values to make classification or regression predictions.
Since options A, B, and C are all valid supervised learning algorithms, none of them is the correct example of a model that is NOT commonly supervised. Therefore, the correct answer is E. None of the above .
60. Frage
Unsupervised learning is a type of machine learning where the algorithm learns from a ______.
Antwort: D
Begründung:
The correct answer is B. Unlabeled dataset . Unsupervised learning is a machine learning approach where the algorithm works with data that does not contain predefined labels, target outputs, or correct answers. Instead of being told what each data point represents, the model analyzes the structure of the data and identifies hidden patterns, groupings, similarities, or relationships on its own.
This type of learning is commonly used for clustering, association rule mining, anomaly detection, dimensionality reduction, and customer segmentation. For example, an unsupervised learning model may group customers based on buying behavior without being given category labels in advance.
A labeled dataset is used in supervised learning, where the model learns from input-output pairs. An
"explained dataset" is not a standard machine learning category. Since unsupervised learning specifically depends on unlabeled data, the correct answer is B. Unlabeled dataset .
61. Frage
Choose the CORRECT statement for ChatGPT.
Antwort: E
Begründung:
The correct answer is B because ChatGPT's ability to maintain and use previous conversational context depends mainly on its model architecture, algorithmic design, token context window, and how the conversation history is processed. ChatGPT is based on large language model technology that uses patterns in prior text to generate relevant responses. It does not "remember" in the same way a human does; rather, it uses the available previous context within the conversation to predict and generate the next response.
Option A is partially true but incomplete because it says ChatGPT can maintain previous context without explaining the dependency on the model's design and context-handling mechanism. Option C is incorrect because TPU hardware may support model training or inference performance, but it does not determine conversational memory by itself. Since option C is wrong, "All of the above" cannot be correct. "None of the above" is also incorrect because option B correctly describes the concept. Therefore, the best answer is B .
62. Frage
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