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Oracle 1Z0-1110-25 Exam Dumps

Get All Oracle Cloud Infrastructure 2025 Data Science Professional Exam Questions with Validated Answers

1Z0-1110-25 Pack
Vendor: Oracle
Exam Code: 1Z0-1110-25
Exam Name: Oracle Cloud Infrastructure 2025 Data Science Professional
Exam Questions: 158
Last Updated: November 20, 2025
Related Certifications: Oracle Cloud , Oracle Cloud Infrastructure
Exam Tags: Associate Level Oracle Machine Learning Engineers and Data Scientists
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Free Oracle 1Z0-1110-25 Exam Actual Questions

Question No. 1

You have an image classification model in the model catalog which is deployed as an HTTP endpoint using model deployments. Your tenancy administrator is seeing increased demands and has asked you to increase the load balancing bandwidth from the default of 10Mbps. You are provided with the following information:

Payload size in KB = 1024

Estimated requests per second = 120 requests/second (Monday through Friday, in every month, in every year)

Buffer percentage = 20%What is the optimal load balancing bandwidth to redeploy your model?

Show Answer Hide Answer
Correct Answer: D

Detailed Answer in Step-by-Step Solution:

Objective: Calculate optimal bandwidth for model deployment.

Given Data:

Payload size = 1024 KB = 1024 * 8 = 8192 Kb (kilobits).

Requests/sec = 120.

Buffer = 20% = 0.2.

Calculate Base Bandwidth:

Bits/sec = Payload * Requests = 8192 Kb * 120 = 983,040 Kb/s = 983.04 Mbps.

Add Buffer:

Total = Base * (1 + Buffer) = 983.04 * 1.2 = 1179.648 Mbps.

Evaluate Options: Closest to 1179.648 Mbps is 1152 Mbps (D)---realistic rounding.

Conclusion: D is correct.

OCI documentation advises: ''Calculate bandwidth as payload size (in bits) * requests/sec, then add a buffer (e.g., 20%) for peak loads.'' Here, 1024 KB = 8192 Kb, * 120 = 983.04 Mbps, * 1.2 = 1179.648 Mbps. D (1152 Mbps) is the closest practical option---452 (A) and 52 (B) are too low, 7052 (C) excessive.

: Oracle Cloud Infrastructure Data Science Documentation, 'Model Deployment - Load Balancing'.


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?

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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

Which of the following best describes the principal goal of data science?

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Correct Answer: B

Detailed Answer in Step-by-Step Solution:

Objective: Define data science's main goal.

Evaluate Options:

A: Archiving---Not the focus; too narrow.

B: Analyze for insights/business value---Core purpose---correct.

C: Prep for analytics---Means, not the end goal.

D: Output-focused---Vague, incomplete.

Reasoning: B captures the actionable insight generation central to data science.

Conclusion: B is correct.

OCI documentation defines data science as ''mining and analyzing large datasets to uncoveractionable insights for operational improvements and business value.'' A is storage-focused, C is preparatory, and D is unclear---only B reflects the principal goal per OCI's mission.

: Oracle Cloud Infrastructure Data Science Documentation, 'What is Data Science?'.


Question No. 4

You are using a custom application with third-party APIs to manage application and data hosted in an Oracle Cloud Infrastructure (OCI) tenancy. Although your third-party APIs don't support OCI's signature-based authentication, you want them to communicate with OCI resources. Which authentication option must you use to ensure this?

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Correct Answer: D

Detailed Answer in Step-by-Step Solution:

Objective: Select an auth method for third-party APIs lacking OCI signature support.

Understand OCI Auth: Typically uses API keys, but alternatives exist for non-standard APIs.

Evaluate Options:

A: Username/password---Not API-friendly, insecure.

B: API Signing Key---Requires signature-based auth, unsupported here.

C: SSH Key---For instance access, not APIs.

D: Auth Token---Simple token for API calls---correct.

Reasoning: Auth Token provides a bearer token for APIs without signature complexity.

Conclusion: D is correct.

OCI documentation states: ''For third-party APIs not supporting signature-based authentication, use an Auth Token (D), a secure, revocable token for accessing OCI resources via REST APIs.'' A, B, and C don't fit non-signature scenarios---only D ensures compatibility per OCI's IAM options.

: Oracle Cloud Infrastructure IAM Documentation, 'Auth Tokens for API Access'.


Question No. 5

Which Oracle Accelerated Data Science (ADS) classes can be used for easy access to datasets fromreference libraries and index websites, such as scikit-learn?

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Correct Answer: B

Detailed Answer in Step-by-Step Solution:

Objective: Identify ADS class for accessing datasets (e.g., scikit-learn).

Evaluate Options:

A: DatasetBrowser---Not an ADS class.

B: DatasetFactory---Loads datasets from sources like scikit-learn---correct.

C: ADSTuner---Hyperparameter tuning, not data access.

D: SecretKeeper---Manages credentials, not datasets.

Reasoning: DatasetFactory simplifies dataset loading (e.g., DatasetFactory.open()).

Conclusion: B is correct.

OCI documentation states: ''DatasetFactory in ADS SDK provides methods to easily load datasets from libraries like scikit-learn or other sources (e.g., DatasetFactory.open('sklearn.datasets:load_iris')).'' A isn't real, C tunes models, and D handles secrets---only B fits.

: Oracle Cloud Infrastructure ADS SDK Documentation, 'DatasetFactory'.


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