OCI documentation states: “For embarrassingly parallel workloads, create a single Job and launch multiple simultaneous Job Runs to process data in parallel.” B misinterprets limits, C wastes time, and D denies capability —only A fits OCI’s design. : Oracle Cloud Infrastructure Data Science Documentation, "Parallel Job Runs". You have created a model and want to use Accelerated Data Science (ADS) SDK to deploy the model. Where are the artifacts to deploy this model with ADS?
Explanation: Detailed Answer in Step -by-Step Solution: Objective: Sequence steps for a PySpark app in OCI Data Science. Evaluate Steps: Launch notebook: First—provides the environment. Install PySpark conda: Second —sets up Spark libraries. Configure core-site.xml: Third —connects to data (e.g., Object Storage). Develop app: Fourth —writes the PySpark code. Data Flow: Fifth —optional scaling, post-development. Check Options: D (1, 2, 3, 4, 5) matches this logical flow. Reasoning: Notebook first, then setup, coding, and scaling. Conclusion: D is correct. OCI documentation recommends: “1) Launch a notebook session, 2) install a PySpark conda environment, 3) configure core-site.xml for data access, 4) develop your PySpark application, and 5) optionally use Data Flow for scale.” D follows this —others (A, B, C) misorder critical steps like launching the notebook. : Oracle Cloud Infrastructure Data Science Documentation, "PySpark in Notebooks". You are creating an Oracle Cloud Infrastructure (OCI) Data Science job that will run on a recurring basis in a production environment. This job will pick up sensitive data from an Object Storage Bucket, train a model, and save it to the model catalog. How would you design the authentication mechanism for the job?
You are a data scientist with a set of text and image files that need annotation, and you want to use Oracle Cloud Infrastructure (OCI) Data Labeling. Which of the following THREE annotation classes are supported by the tool?
Detailed Answer in Step -by-Step Solution: Objective: Spot the invalid OCI IAM policy. Understand Policies: Use verbs (e.g., use, manage) and resource types. Evaluate Options: A: Valid —virtual -network -family is a resource type. B: Invalid —No data-science -model -sessions resource type; likely meant data-science -models. C: Valid —data-science -projects is correct. D: Valid —data-science -family aggregates Data Science resources. Reasoning: B uses a nonexistent resource type —error in syntax. Conclusion: B is incorrect. OCI IAM documentation lists valid resource types: “data -science -models, data -science -projects, data - science -family —but not data-science -model -sessions (B).” A, C, D are correct —B is invalid due to this typo/misunderstanding. : Oracle Cloud Infrastructure IAM Documentation, "Data Science Resource Types". Which is NOT a valid OCI Data Science notebook session approach?
You are working as a Data Scientist for a healthcare company. You have a series of neurophysiological data on OCI Data Science and have developed a convolutional neural network (CNN) classification model. It predicts the source of seizures in drug-resistant epileptic patients. You created a model artifact with all the necessary files. When you deployed the model, it failed to run because you did not point to the correct conda environment in the model artifact. Where would you provide instructions to use the correct conda environment?
➢ TOTAL QUESTIONS: 308 A bike sharing platform has collected user commute data for the past 3 years. For increasing profitability and making useful inferences, a machine learning model needs to be built from the accumulated data. Which of the following options has the correct order of the required machine learning tasks for building a model?
