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| Section | Weight | Objectives |
|---|
| MLOps and OCI Integration | 20% | - OCI ecosystem
- 1. Object Storage
- 2. IAM and security
- Automation and pipelines
- 1. CI/CD integration
- 2. Model lifecycle management
|
| OCI Data Science Service | 30% | - Model catalog
- 1. Model metadata
- 2. Model versioning
- Projects and notebooks
- 1. Conda environments
- 2. Notebook sessions
|
| Machine Learning Fundamentals | 20% | - Supervised learning
- 1. Classification
- 2. Regression
- Unsupervised learning
- 1. Dimensionality reduction
- 2. Clustering
|
| Model Development and Deployment | 30% | - Model training
- 1. Experiments
- 2. Hyperparameter optimization
- Model deployment
- 1. Deployment creation
- 2. Prediction endpoints
|
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Oracle 1Z0-1110-26 Exam Overviews | High Pass-Rate 1Z0-1110-26 Latest Exam Pattern: Oracle Cloud Infrastructure Data Science Professional
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Oracle Cloud Infrastructure Data Science Professional Sample Questions (Q111-Q116):
NEW QUESTION # 111
You are working in your notebook session and find that your notebook session does not have enough compute CPU and memory for your workload. How would you scale up your notebook session without losing your work?
- A. Create a temporary bucket in Object Storage, write all your files and data to Object Storage, delete the notebook session, provision a new notebook session on a larger compute shape, and copy your files and data from your temporary bucket to your new notebook session
- B. Download your files and data to your local machine, delete your notebook session, provision a new notebook session on a larger compute shape, and upload your files from your local machine to the new notebook session
- C. Deactivate your notebook session, provision a new notebook session on a larger compute shape, and recreate all your file changes
- D. Ensure your files and environments are written to the block volume storage under the /home/datascience directory, deactivate the notebook session, and activate the notebook with a larger compute shape selected
Answer: D
Explanation:
Detailed Answer in Step-by-Step Solution:
Objective: Scale up a notebook session without losing work.
Understand Persistence: Block volume stores session data (e.g., /home/datascience).
Evaluate Options:
A: Recreating work—inefficient, risks loss.
B: Local download/upload—cumbersome, unnecessary.
C: Use block volume persistence, scale up—efficient, preserves work—correct.
D: Object Storage—extra steps, not needed with block volume.
Reasoning: C leverages OCI’s built-in persistence for seamless scaling.
Conclusion: C is correct.
OCI documentation states: “Files in /home/datascience are stored on the block volume. To scale up, deactivate the session, provision a new one with a larger shape, and the block volume persists your work.” A loses data, B and D add complexity—only C is optimal.
1: Oracle Cloud Infrastructure Data Science Documentation, "Scaling Notebook Sessions".
NEW QUESTION # 112
You are preparing a configuration object necessary to create a Data Flow application. Which THREE parameter values should you provide?
- A. The path to the archive.zip file
- B. The compartment of the Data Flow application
- C. The bucket used to read/write the PySpark script in Object Storage
- D. The display name of the application
- E. The local path to your PySpark script
Answer: B,C,D
Explanation:
Detailed Answer in Step-by-Step Solution:
Objective: Identify three required params for an OCI Data Flow app config.
Understand Data Flow: Runs Spark apps; needs compartment, storage, and identity.
Evaluate Options:
A: Archive path—Optional if script is in Object Storage—incorrect.
B: Local script path—Not needed; script is uploaded—incorrect.
C: Compartment—Required for resource scope—correct.
D: Bucket—Required for script storage/access—correct.
E: Display name—Required for app identification—correct.
Reasoning: C, D, E are mandatory metadata for Data Flow creation—script location is specified via bucket.
Conclusion: C, D, E are correct.
OCI documentation states: “To create a Data Flow application, configure the compartment OCID (C), Object Storage bucket for the PySpark script (D), and a display name (E) in the application object.” Local paths (B) or archives (A) are optional or handled separately—only C, D, E are required per OCI’s Data Flow API spec.
1: Oracle Cloud Infrastructure Data Flow Documentation, "Creating Applications".
NEW QUESTION # 113
Which Oracle Cloud Infrastructure (OCI) Data Science policy is invalid?
- A. Allow dynamic-group DataScienceDynamicGroup to manage data-science-family in compartment DataScience
- B. Allow group DataScienceGroup to use virtual-network-family in compartment DataScience
- C. Allow group DataScienceGroup to use data-science-model-sessions in compartment DataScience
- D. Allow dynamic-group DataScienceDynamicGroup to manage data-science-projects in compartment DataScience
Answer: C
Explanation:
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.
1: Oracle Cloud Infrastructure IAM Documentation, "Data Science Resource Types".
NEW QUESTION # 114
Which statement about Oracle Cloud Infrastructure Data Science Jobs is true?
- A. Jobs provisions the infrastructure to run a process on-demand
- B. Jobs comes with a set of standard tasks that cannot be customized
- C. You must create and manage your own Jobs infrastructure
- D. You must use a single Shell/Bash or Python artifact to run a job
Answer: A
Explanation:
Detailed Answer in Step-by-Step Solution:
Objective: Identify a true statement about OCI Data Science Jobs.
Understand OCI Jobs: Jobs automate ML tasks (e.g., training) on managed infrastructure.
Evaluate Options:
A: True—Jobs provision OCI compute resources on-demand for task execution.
B: False—Users define custom tasks (e.g., Python scripts), not limited to standard ones.
C: False—Infrastructure is fully managed by OCI, not user-managed.
D: False—Multiple artifacts (e.g., ZIP with dependencies) can be used, not just one file.
Reasoning: A reflects OCI’s managed, on-demand provisioning model for Jobs.
Conclusion: A is correct.
The OCI Data Science documentation states: “Jobs provision compute infrastructure on-demand to execute user-defined tasks, such as model training or data processing, on fully managed OCI resources.” B is incorrect (customization is allowed), C contradicts the managed nature, and D misstates artifact flexibility—only A accurately describes Jobs.
1: Oracle Cloud Infrastructure Data Science Documentation, "Jobs Overview".
NEW QUESTION # 115
Which type of firewalls are designed to protect against web application attacks, such as SQL injection and cross-site scripting?
- A. Incident firewall
- B. Web Application Firewall
- C. Packet filtering firewall
- D. Stateful inspection firewall
Answer: B
Explanation:
Detailed Answer in Step-by-Step Solution:
Objective: Identify the firewall type protecting against web app attacks like SQL injection and XSS.
Understand Firewall Types:
Stateful Inspection: Tracks connection states, not app-specific.
Web Application Firewall (WAF): Targets web app vulnerabilities.
Incident Firewall: Not a recognized term.
Packet Filtering: Basic packet rules, not app-aware.
Evaluate Options:
A: Stateful—General network, not web-specific—incorrect.
B: WAF—Designed for SQLi, XSS—correct.
C: Incident—Non-existent—incorrect.
D: Packet—Low-level, not app-focused—incorrect.
Reasoning: WAF specializes in web app security—matches requirement.
Conclusion: B is correct.
OCI documentation states: “Web Application Firewall (WAF) (B) protects against web application attacks like SQL injection and cross-site scripting by inspecting HTTP traffic.” A and D handle network-level threats, C isn’t real—only B aligns with OCI’s WAF purpose.
1: Oracle Cloud Infrastructure WAF Documentation, "Overview".
NEW QUESTION # 116
......
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