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Oracle 1Z0-1110-26 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Apply MLOps Practices | 20% | - Governance, auditing, and compliance - Model monitoring, drift detection, and performance tracking - ML pipelines, automation, and reproducibility |
| Integrate Related OCI Services | 10% | - Use OCI AI and data services with Data Science - Integration with OCI Object Storage, Vault, and Networking |
| Design and Set Up Data Science Workspace | 15% | - Configure compute shapes, storage, and networking - Create and manage projects and notebook sessions - Manage access control, security, and IAM integration |
| OCI Data Science - Introduction & Configuration | 10% | - Tenancy and environment configuration for Data Science - Capabilities of the Accelerated Data Science (ADS) SDK - Overview and core concepts of OCI Data Science |
| Implement End-to-End Machine Learning Lifecycle | 45% | - Data preparation, exploration, and transformation - Model development, training, and evaluation - Deploy models and manage endpoints - Use AutoML and built-in algorithms - Model saving, cataloging, and versioning |
Oracle Cloud Infrastructure Data Science Professional Sample Questions:
1. You are a computer vision engineer building an image recognition model. You decide to use Oracle Data Labeling to annotate your image dat a. Which of the following THREE are possible ways to annotate an image in Data Labeling?
A) Adding labels to an image using semantic segmentation, by drawing multiple bounding boxes to an image
B) Adding labels to an image by drawing a bounding box to an image is not supported by Data Labeling
C) Adding multiple labels to an image
D) Adding labels to an image using object detection, by drawing bounding boxes to an image
E) Adding a single label to an image
2. Which is NOT a valid OCI Data Science notebook session approach?
A) While connecting to data in OCI Object Storage from your notebook session, the best practice is to make a local copy on the device and then upload it to your notebook session block volume
B) Avoid having multiple users in the same notebook session due to the possibility of resource contention and write conflicts
C) Ensure you don’t execute long-running Python processes in a notebook cell
D) Run the process directly in the terminal and use Python logging to get updates on the progress of your job
E) Authenticate using your notebook session’s resource principal to access other OCI resources. Resource principals provide a more secure way to authenticate to resources compared to the OCI configuration and API approach
3. You have just started as a data scientist at a healthcare company. You have been asked to analyze and improve a deep neural network model, which was built based on the electrocardiogram records of patients. There are no details about the model framework that was built. What would be the best way to find more details about the machine learning models inside the model catalog?
A) Refer to the code inside the model
B) Check for provenance details
C) Check for metadata tags
D) Check for model taxonomy details
4. As a data scientist for a hardware company, you have been asked to predict the revenue demand for the upcoming quarter. You develop a time series forecasting model to analyze the dat a. Select the correct sequence of steps to predict the revenue demand values for the upcoming quarter.
A) Prepare model, verify, save, deploy, predict
B) Prepare model, deploy, verify, save, predict
C) Verify, prepare model, deploy, save, predict
D) Predict, deploy, save, verify, prepare model
5. When preparing your model artifact to save it to the Oracle Cloud Infrastructure (OCI) DataScience model catalog, you create a score.py file. What is the purpose of the score.py file?
A) Define the compute scaling strategy
B) Define the inference server dependencies
C) Execute the inference logic code
D) Configure the deployment infrastructure
Solutions:
| Question # 1 Answer: C,D,E | Question # 2 Answer: A | Question # 3 Answer: B | Question # 4 Answer: A | Question # 5 Answer: C |
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