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34. Frage
Which of the following statement is CORRECT for RNN?
Antwort: C
Begründung:
The correct answer is E. a, b and c only because all three statements correctly describe Recurrent Neural Networks and their limitation. RNNs are neural network models designed for sequential data such as text, speech, time-series data, and ordered events. They process information step by step and use previous hidden states to influence later outputs.
Statement A is correct because a major drawback of traditional RNNs is their difficulty in remembering information over many time steps. This happens mainly because of vanishing gradient problems during training. Statement B is also correct because standard RNNs generally struggle with long-term dependencies, meaning they may fail to retain important information from earlier parts of a sequence. Statement C is correct because Long Short-Term Memory networks are a specialized extension of RNNs designed to handle long- term memory more effectively using gates that control what information is stored, forgotten, and passed forward.
Therefore, the best answer is E. a, b and c only .
35. Frage
Choose the CORRECT statement for SOFT Launch.
Antwort: C
Begründung:
The correct answer is E. a, b and c only because all three statements correctly describe a soft launch. A soft launch is a limited and controlled release of a new product, service, platform, or feature before a full public launch. Organizations use it to test the product in a real or semi-real market environment while reducing risk and maintaining control over the launch process.
Statement A is correct because a soft launch is not a large-scale public release; it is usually restricted to a smaller audience, region, user group, or market segment. Statement B is also correct because companies may handpick early users, beta testers, internal customers, loyal customers, or selected market participants to try the product first. Statement C is correct because a soft launch helps the company observe customer reactions, collect feedback, identify defects, test adoption, validate messaging, and estimate customer acquisition costs.
Since A, B, and C are all accurate, the best answer is E. a, b and c only .
36. Frage
Select the MOST CORRECT statement for Few-shot learning.
Antwort: A
Begründung:
The correct answer is E. b and c only because few-shot learning means a model learns or adapts to a new task using only a small number of examples. In generative AI and large language model usage, few-shot prompting often provides a few demonstrations so the model can understand the expected pattern, format, classification logic, or response style. Option B is correct because few-shot learning uses a limited number of examples rather than a large training dataset.
Option C is also correct because few-shot learning depends on the model's prior knowledge learned during pretraining. The model uses that existing knowledge to generalize from the small set of examples and apply the same logic to new inputs. Option A is not the best statement because "a large number of examples" does not match the idea of few-shot learning. Therefore, the most correct answer is E. b and c only .
37. Frage
What type of learning is used when a model is trained with labeled data?
Antwort: A
Begründung:
The correct answer is B. Supervised Learning . Supervised learning is the machine learning approach used when a model is trained with labeled data. Labeled data means each training example includes both the input and the correct output or target label. The model studies these examples and learns the relationship between the input features and the expected result. After training, it can make predictions or classifications on new data.
Unsupervised learning is incorrect because it uses unlabeled data and focuses on finding hidden patterns, clusters, or structures without predefined answers. Reinforcement learning is incorrect because it involves an agent learning through actions, rewards, and penalties in an environment. Semi-supervised learning is also not the best answer because it uses a mix of labeled and unlabeled data. Support Vector refers to part of the Support Vector Machine method, not a learning type by itself. Therefore, the correct learning type for labeled data is B. Supervised Learning .
38. Frage
Which is the first useful computer program that came into existence in the AI world?
Antwort: B
Begründung:
The correct answer is B. GPS . In artificial intelligence history, GPS stands for General Problem Solver . It was an early AI program developed to simulate human problem-solving behavior. GPS was designed to solve problems by breaking them down into goals, subgoals, operators, and differences between the current state and the desired state. This approach became important because it introduced structured reasoning and symbolic problem solving, which were central ideas in early AI research.
LPS, MLS, AIS, and EPS are not the standard answer for the first useful computer program in the AI world in this context. GPS is widely recognized as one of the earliest useful AI programs because it attempted to model general reasoning rather than solving only one narrow calculation task. It showed how computers could be programmed to search through possible actions and work toward a goal. Therefore, the correct answer is B.
GPS .
39. Frage
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