Dumps 1z0-1122-24 Collection - 1z0-1122-24 Valid Exam Braindumps
Dumps 1z0-1122-24 Collection - 1z0-1122-24 Valid Exam Braindumps
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1z0-1122-24 Valid Exam Braindumps & New 1z0-1122-24 Test Objectives
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Oracle Cloud Infrastructure 2024 AI Foundations Associate Sample Questions (Q26-Q31):
NEW QUESTION # 26
You are working on a multilingual public announcement system. Which AI task will you use to implement it?
- A. Audio recording
- B. Speech recognition
- C. Text summarization
- D. Text to speech
Answer: D
Explanation:
For a multilingual public announcement system, the AI task that would be most relevant is "Text to Speech" (TTS). This task involves converting written text into spoken words, which can then be broadcasted over public address systems in multiple languages.
Text to Speech technology is crucial for creating accessible and understandable announcements in different languages, especially in environments like airports, train stations, or public events where clear verbal communication is essential. The TTS system would be configured to support multiple languages, allowing it to deliver announcements to diverse audiences effectively .
NEW QUESTION # 27
Which algorithm is primarily used for adjusting the weights of connections between neurons during the training of an Artificial Neural Network (ANN)?
- A. Random Forest
- B. Gradient Descent
- C. Backpropagation
- D. Support Vector Machine
Answer: C
Explanation:
Backpropagation is the algorithm primarily used for adjusting the weights of connections between neurons during the training of an Artificial Neural Network (ANN). It is a supervised learning algorithm that calculates the gradient of the loss function with respect to each weight by applying the chain rule, propagating the error backward from the output layer to the input layer. This process updates the weights to minimize the error, thus improving the model's accuracy over time.
Gradient Descent is closely related as it is the optimization algorithm used to adjust the weights based on the gradients computed by backpropagation, but backpropagation is the specific method used to calculate these gradients.
NEW QUESTION # 28
What feature of OCI Data Science provides an interactive coding environment for building and training models?
- A. Model catalog
- B. Notebook sessions
- C. Accelerated Data Science (ADS) SDK
- D. Conda environment
Answer: B
Explanation:
In OCI Data Science, Notebook sessions provide an interactive coding environment that is essential for building, training, and deploying machine learning models. These sessions allow data scientists to write and execute code in real time, offering a flexible environment for data exploration, model experimentation, and iterative development. The integration with various OCI services and support for popular machine learning frameworks further enhances the utility of Notebook sessions, making them a crucial tool in the data science workflow.
NEW QUESTION # 29
Which feature is NOT available as part of OCI Speech capabilities?
- A. Provides timestamped, grammatically accurate transcriptions
- B. Uses extensive data science experience to operate
- C. Supports multiple languages including English, Spanish, and Portuguese
- D. Transcribes audio and video files into text
Answer: B
Explanation:
OCI Speech capabilities are designed to be user-friendly and do not require extensive data science experience to operate. The service provides features such as transcribing audio and video files into text, offering grammatically accurate transcriptions, supporting multiple languages, and providing timestamped outputs. These capabilities are built to be accessible to a broad range of users, making speech-to-text conversion seamless and straightforward without the need for deep technical expertise.
NEW QUESTION # 30
What is the main function of the hidden layers in an Artificial Neural Network (ANN) when recognizing handwritten digits?
- A. Providing labels for the output neurons
- B. Directly predicting the final output
- C. Capturing the internal representation of the raw image data
- D. Storing the input pixel values
Answer: C
Explanation:
In an Artificial Neural Network (ANN) designed for recognizing handwritten digits, the hidden layers serve the crucial function of capturing the internal representation of the raw image data. These layers learn to extract and represent features such as edges, shapes, and textures from the input pixels, which are essential for distinguishing between different digits. By transforming the input data through multiple hidden layers, the network gradually abstracts the raw pixel data into higher-level representations, which are more informative and easier to classify into the correct digit categories.
NEW QUESTION # 31
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