Most Recent Oracle 1Z0-1110-25 Exam Dumps

Prepare for the Oracle Cloud Infrastructure 2025 Data Science Professional exam with our extensive collection of questions and answers. These practice Q&A are updated according to the latest syllabus, providing you with the tools needed to review and test your knowledge.

QA4Exam focus on the latest syllabus and exam objectives, our practice Q&A are designed to help you identify key topics and solidify your understanding. By focusing on the core curriculum, These Questions & Answers helps you cover all the essential topics, ensuring you're well-prepared for every section of the exam. Each question comes with a detailed explanation, offering valuable insights and helping you to learn from your mistakes. Whether you're looking to assess your progress or dive deeper into complex topics, our updated Q&A will provide the support you need to confidently approach the Oracle 1Z0-1110-25 exam and achieve success.

The questions for 1Z0-1110-25 were last updated on May 3, 2025.

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Question No. 1

How can you collaborate with team members in OCI Data Science Workspace?

ABy granting access to specific notebooks and files

BBy using version control systems integrated with the workspace

CBy sharing the workspace instance with other users

DBy enabling chat and video conferencing within the workspace

Show Answer

Correct Answer: B

Detailed Answer in Step-by-Step Solution:

Objective: Determine collaboration method in OCI Data Science (Notebook Sessions).

Evaluate Options:

A: Access control---Possible but not primary collaboration.

B: Version control (e.g., Git)---Standard for code sharing---correct.

C: Shared instance---Not supported; sessions are single-user.

D: Chat/video---Not a feature of OCI Data Science.

Reasoning: B leverages Git for team collaboration---OCI's recommended method.

Conclusion: B is correct.

OCI documentation states: ''Collaborate in Data Science by integrating version control systems like Git (B) with notebook sessions to share code and notebooks.'' A is limited, C isn't feasible, and D isn't available---only B matches OCI's collaboration approach.

: Oracle Cloud Infrastructure Data Science Documentation, 'Collaboration with Git'.

Question No. 2

You have received machine learning model training code, without clear information about the optimal shape to run the training. How would you proceed to identify the optimal compute shape for your model training that provides a balanced cost and processing time?

AStart with a smaller shape and monitor the Job Run metrics and time required to complete the model training. If the compute shape is not fully utilized, tune the model parameters, and rerun the job. Repeat the process until the shape resources are fully utilized

BStart with the strongest compute shape Jobs support and monitor the Job Run metrics and time required to complete the model training. Tune the model so that it utilizes as much compute resources as possible, even at an increased cost

CStart with a smaller shape and monitor the utilization metrics and time required to complete the model training. If the compute shape is fully utilized, change to compute that has more resources and rerun the job. Repeat the process until the processing time does not improve

DStart with a random compute shape and monitor the utilization metrics and time required to finish the model training. Perform model training optimizations and performance tests in advance to identify the right compute shape before running the model training as a job

Show Answer

Correct Answer: C

Detailed Answer in Step-by-Step Solution:

Objective: Optimize compute shape for cost and time.

Evaluate Options:

A: Tuning params---Focuses on model, not shape.

B: Strongest shape---Costly, unbalanced.

C: Scale up when utilized---Balances cost/time---correct.

D: Random start---Unsystematic.

Reasoning: C iteratively optimizes based on utilization.

Conclusion: C is correct.

OCI documentation advises: ''Start with a small shape, monitor utilization and time (C); scale up if fully utilized until performance stabilizes---optimizes cost and speed.'' A misfocuses, B overspends, D lacks method---only C aligns.

: Oracle Cloud Infrastructure Data Science Documentation, 'Compute Shape Optimization'.

Question No. 3

What is the minimum active storage duration for logs used by Logging Analytics to be archived?

A60 days

B10 days

C30 days

D15 days

Show Answer

Correct Answer: C

Detailed Answer in Step-by-Step Solution:

Objective: Determine minimum log storage duration before archiving in Logging Analytics.

Understand Logging Analytics: Logs are active before archival.

Evaluate Options:

A: 60 days---Too long for minimum.

B: 10 days---Too short.

C: 30 days---Standard minimum---correct.

D: 15 days---Not OCI's default.

Reasoning: 30 days is OCI's documented minimum active period.

Conclusion: C is correct.

OCI documentation states: ''Logs in Logging Analytics remain active for a minimum of 30 days (C) before archiving, ensuring availability for analysis.'' B and D are shorter, A is longer---only C matches OCI's policy.

: Oracle Cloud Infrastructure Logging Analytics Documentation, 'Log Retention'.

Question No. 4

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?

ADeactivate your notebook session, provision a new notebook session on a larger compute shape, and recreate all your file changes

BDownload 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

CEnsure 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

DCreate 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

Show Answer

Correct Answer: C

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.

: Oracle Cloud Infrastructure Data Science Documentation, 'Scaling Notebook Sessions'.

Question No. 5

Which is NOT a part of Observability and Management Services?

AEvent Services

BOCI Management Service

CLogging Analytics

DLogging

Show Answer

Correct Answer: B

Detailed Answer in Step-by-Step Solution:

Objective: Identify the non-Observability and Management (O&M) service in OCI.

Understand O&M: Includes monitoring, logging, events tools.

Evaluate Options:

A: Event Services---Triggers actions, part of O&M---correct.

B: OCI Management Service---Not a defined O&M service---incorrect.

C: Logging Analytics---Log analysis, O&M component---correct.

D: Logging---Log collection, O&M component---correct.

Reasoning: B isn't listed in OCI's O&M suite---others are.

Conclusion: B is correct (not part of O&M).

OCI documentation lists ''Observability and Management Services as including Event Services (A), Logging Analytics (C), and Logging (D)---'OCI Management Service' (B) is not a recognized component.'' B appears to be a misnomer---only A, C, D are O&M per OCI's service catalog.

: Oracle Cloud Infrastructure Observability and Management Documentation, 'Service Overview'.

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