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| Section | Weight | Objectives |
|---|---|---|
| Apply MLOps Practices | 20% | - Model monitoring, drift detection, and performance tracking - Governance, auditing, and compliance - ML pipelines, automation, and reproducibility |
| OCI Data Science - Introduction & Configuration | 10% | - Capabilities of the Accelerated Data Science (ADS) SDK - Tenancy and environment configuration for Data Science - Overview and core concepts of OCI Data Science |
| Integrate Related OCI Services | 10% | - Integration with OCI Object Storage, Vault, and Networking - Use OCI AI and data services with Data Science |
| Implement End-to-End Machine Learning Lifecycle | 45% | - Data preparation, exploration, and transformation - Model saving, cataloging, and versioning - Model development, training, and evaluation - Use AutoML and built-in algorithms - Deploy models and manage endpoints |
| Design and Set Up Data Science Workspace | 15% | - Create and manage projects and notebook sessions - Configure compute shapes, storage, and networking - Manage access control, security, and IAM integration |
1. As a data scientist, you are working on a global health dataset that has data from more than 50 countries. You want to encode three features, such as 'countries', 'race', and 'body organ' as categories. Which option would you use to encode the categorical feature?
A) OneHotEncoder()
B) show_in_notebook()
C) DataFrameLabelEncode()
D) auto_transform()
2. You are a data scientist leveraging Oracle Cloud Infrastructure (OCI) to create a model and need some additional Python libraries for processing genome sequencing dat a. Which of the following THREE statements are correct with respect to installing additional Python libraries to process the data?
A) You can only install libraries using yum and pip as a normal user
B) OCI Data Science allows root privileges in notebook sessions
C) You cannot install a library that’s not preinstalled in the provided image
D) You can install any open-source package available in a publicly accessible Python Package Index (PyPI) repository
E) You can install private or custom libraries from your own internal repositories
3. As a data scientist, you create models for cancer prediction based on mammographic images. The correct identification is very crucial in this case. After evaluating two models, you arrive at the following confusion matrix. Which model would you prefer and why?
Model 1 has Test accuracy is 80% and recall is 70%
Model 2 has Test accuracy is 75% and recall is 85%
A) Model 1, because recall has lesser impact on predictions in this use case
B) Model 2, because recall has more impact on predictions in this use case
C) Model 2, because recall is high
D) Model 1, because the test accuracy is high
4. You are attempting to save a model from a notebook session to the model catalog by using ADS SDK, with resource principal as the authentication signer, and you get a 404 authentication error. Which TWO should you look for to ensure permissions are set up correctly?
A) The networking configuration allows access to the Oracle Cloud Infrastructure services through a service gateway
B) The model artifact is saved to the block volume of the notebook session
C) The dynamic groups matching rule exists for notebook sessions in the compartment
D) The policy for the dynamic group grants manage permissions for the model catalog in this compartment
E) The policy for your user group grants manage permissions for the model catalog in this compartment
5. You have an embarrassingly parallel or distributed batch job with a large amount of data running using Data Science Jobs. What would be the best approach to run the workload?
A) Reconfigure the job run because Data Science Jobs does not support embarrassingly parallel
B) Create a new job for every job run that you have to run in parallel, because the Data Science Job service can have only one job per job
C) Create a job in Data Science Jobs and then start the number of simultaneous job runs required for your workload
D) Create the job in Data Science Jobs and start a job run. When it is done, start a new job run until you achieve the number of runs required
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: C,D,E | Question # 3 Answer: B | Question # 4 Answer: C,D | Question # 5 Answer: C |
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