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Oracle 1Z0-1110-26 Exam Syllabus Topics:

SectionWeightObjectives
Integrate Related OCI Services10%- Use OCI AI and data services with Data Science
- Integration with OCI Object Storage, Vault, and Networking
Implement End-to-End Machine Learning Lifecycle45%- Model saving, cataloging, and versioning
- Model development, training, and evaluation
- Data preparation, exploration, and transformation
- Deploy models and manage endpoints
- Use AutoML and built-in algorithms
Apply MLOps Practices20%- Model monitoring, drift detection, and performance tracking
- ML pipelines, automation, and reproducibility
- Governance, auditing, and compliance
OCI Data Science - Introduction & Configuration10%- Overview and core concepts of OCI Data Science
- Capabilities of the Accelerated Data Science (ADS) SDK
- Tenancy and environment configuration for Data Science
Design and Set Up Data Science Workspace15%- Create and manage projects and notebook sessions
- Configure compute shapes, storage, and networking
- Manage access control, security, and IAM integration

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Quiz 2026 Oracle 1Z0-1110-26: Professional Valid Oracle Cloud Infrastructure Data Science Professional Exam Pass4sure

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Oracle Cloud Infrastructure Data Science Professional Sample Questions (Q154-Q159):

NEW QUESTION # 154
Which cache rules criterion matches if the concatenation of the requested URL path and query are identical to the contents of the value field?

Answer: D

Explanation:
Detailed Answer in Step-by-Step Solution:
Objective: Match a cache rule criterion for exact URL path and query.
Understand Cache Rules: Used in OCI (e.g., WAF, CDN) to cache content.
Evaluate Options:
A: Contains&#x2014;Partial match, not exact.
B: Is&#x2014;Exact match of full URL (path + query)&#x2014;correct.
C: Ends with&#x2014;Matches end, not full URL.
D: Starts with&#x2014;Matches start, not full URL.
Reasoning: &#x201C;URL_IS&#x201D; checks exact equality&#x2014;fits requirement.
Conclusion: B is correct.
OCI documentation states: &#x201C;The URL_IS (B) criterion in cache rules matches when the full URL (path and query) exactly equals the specified value.&#x201D; A, C, and D are partial matches&#x2014;only B ensures identical concatenation per OCI&#x2019;s caching config.
1: Oracle Cloud Infrastructure WAF Documentation, &quot;Cache Rules Criteria&quot;.


NEW QUESTION # 155
You are a data scientist working inside a notebook session and you attempt to pip install a package from a public repository that is not included in your conda environment. After running this command, you get a network timeout error. What might be missing from your networking configuration?

Answer: A

Explanation:
Detailed Answer in Step-by-Step Solution:
Objective: Fix network timeout for pip install in a notebook.
Evaluate Options:
A: FastConnect&#x2014;On-premises link, not public internet.
B: VNIC&#x2014;Default, not the issue.
C: NAT Gateway&#x2014;Grants internet access&#x2014;correct.
D: Service Gateway&#x2014;OCI services, not PyPI.
Reasoning: C enables outbound traffic to public repos.
Conclusion: C is correct.
OCI documentation states: &#x201C;A NAT Gateway (C) is required for notebook sessions in private subnets to access public internet repositories like PyPI.&#x201D; A, B, and D don&#x2019;t provide this&#x2014;only C resolves the timeout.
1: Oracle Cloud Infrastructure Data Science Documentation, &quot;Notebook Networking&quot;.


NEW QUESTION # 156
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 &apos;countries&apos;, &apos;race&apos;, and &apos;body organ&apos; as categories. Which option would you use to encode the categorical feature?

Answer: B

Explanation:
Detailed Answer in Step-by-Step Solution:
Objective: Encode categorical features in a Data Science context (likely ADS SDK).
Understand Encoding: Converts categories (e.g., countries) to numerical forms.
Evaluate Options:
A: Not a standard ADS method&#x2014;incorrect.
B: General transformation, not specific encoding&#x2014;incorrect.
C: OneHotEncoder&#x2014;Standard for categorical encoding&#x2014;correct.
D: Visualization, not encoding&#x2014;incorrect.
Reasoning: One-hot encoding creates binary columns&#x2014;ideal for multiple categories.
Conclusion: C is correct.
OCI documentation states: &#x201C;In ADS SDK, use OneHotEncoder (C) from sklearn (or similar) to encode categorical features like &#x2018;countries&#x2019; into binary vectors for modeling.&#x201D; A isn&#x2019;t real, B is too broad, D is unrelated&#x2014;only C fits OCI&#x2019;s encoding practice.
1: Oracle Cloud Infrastructure Data Science Documentation, &quot;Feature Encoding with ADS&quot;.


NEW QUESTION # 157
While working with Git on Oracle Cloud Infrastructure (OCI) Data Science, you notice that two of the operations are taking more time than the others due to your slow internet speed. Which TWO operations would experience the delay?

Answer: A,E

Explanation:
Detailed Answer in Step-by-Step Solution:
Analyze Git Operations: Identify which depend on internet speed.
Evaluate Options:
A . Staging (git add): Local operation&#x2014;adds files to the index; no network involved.
B . Updating local repo (git pull): Downloads remote changes&#x2014;requires internet, slowed by poor connectivity.
C . Pushing changes (git push): Uploads local commits to remote&#x2014;network-dependent, delayed by slow speed.
D . Committing (git commit): Local snapshot&#x2014;no network needed.
E . Converting to Git repo (git init): Local initialization&#x2014;no internet required.
Reasoning: Only B and C involve network transfers, directly impacted by slow internet.
Conclusion: B and C are the correct choices.
Git operations like git pull (B) and git push (C) rely on network communication with a remote repository, such as OCI Code Repository, and are documented as &#x201C;bandwidth-sensitive&#x201D; in OCI&#x2019;s guides. Local actions like staging (A), committing (D), and initializing (E) occur on the user&#x2019;s machine, unaffected by internet speed. This matches standard Git behavior and OCI&#x2019;s implementation.
1: Oracle Cloud Infrastructure Data Science Documentation, &quot;Using Git in Notebook Sessions&quot;.


NEW QUESTION # 158
You have just received a new dataset from a colleague. You want to quickly find out summary information about the dataset, such as the types of features, the total number of observations, and distributions of the dat a. Which Accelerated Data Science (ADS) SDK method from the ADSDataset class would you use?

Answer: C

Explanation:
Detailed Answer in Step-by-Step Solution:
Objective: Get summary info from an ADSDataset object.
Evaluate Options:
A: Correlation matrix&#x2014;Specific, not full summary.
B: Converts to XGBoost&#x2014;Not for summary.
C: Executes computation&#x2014;Not summary-focused.
D: Displays summary (types, counts, dist)&#x2014;correct.
Reasoning: show_in_notebook() provides a comprehensive overview.
Conclusion: D is correct.
OCI documentation states: &#x201C;show_in_notebook() (D) from ADSDataset displays a summary of the dataset, including feature types, observation count, and distributions, in a notebook.&#x201D; A is partial, B and C are unrelated&#x2014;only D meets the need per ADS SDK.
1: Oracle Cloud Infrastructure ADS SDK Documentation, &quot;ADSDataset Methods&quot;.


NEW QUESTION # 159
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