Open the auxiliary access

Firefly Open Source Community

   Login   |   Register   |
New_Topic
Firefly Open Source Community › Core Board › Core-3568J› Oracle 1z0-1110-25 Dumps - Pass Exam With Ease [2026 ...
New Topic
Print Previous Topic Next Topic

[General] Oracle 1z0-1110-25 Dumps - Pass Exam With Ease [2026]

ericmil135

133

Credits

0

Prestige

0

Contribution

registered members

Rank: 2

Credits
133

【General】 Oracle 1z0-1110-25 Dumps - Pass Exam With Ease [2026]

Posted at yesterday 15:22      View：2 | Replies：0        Print      Only Author   [Copy Link] 1#
BONUS!!! Download part of ITExamSimulator 1z0-1110-25 dumps for free: https://drive.google.com/open?id=18X9o7r1ac2lbxVoKdsuBuRMkpxLq3IpX
While making revisions and modifications to the Oracle 1z0-1110-25 practice exam, our team takes reports from over 90,000 professionals worldwide to make the Oracle Cloud Infrastructure 2025 Data Science Professional exam questions foolproof. To make you capable of preparing for the Oracle 1z0-1110-25 Exam smoothly, we provide actual Oracle 1z0-1110-25 exam dumps.
Oracle 1z0-1110-25 Exam Syllabus Topics:
TopicDetails
Topic 1
  • Create and Manage Projects and Notebook Sessions: This part assesses the skills of Cloud Data Scientists and focuses on setting up and managing projects and notebook sessions within OCI Data Science. It also covers managing Conda environments, integrating OCI Vault for credentials, using Git-based repositories for source code control, and organizing your development environment to support streamlined collaboration and reproducibility.
Topic 2
  • Use Related OCI Services: This final section measures the competence of Machine Learning Engineers in utilizing OCI-integrated services to enhance data science capabilities. It includes creating Spark applications through OCI Data Flow, utilizing the OCI Open Data Service, and integrating other tools to optimize data handling and model execution workflows.
Topic 3
  • Apply MLOps Practices: This domain targets the skills of Cloud Data Scientists and focuses on applying MLOps within the OCI ecosystem. It covers the architecture of OCI MLOps, managing custom jobs, leveraging autoscaling for deployed models, monitoring, logging, and automating ML workflows using pipelines to ensure scalable and production-ready deployments.
Topic 4
  • Implement End-to-End Machine Learning Lifecycle: This section evaluates the abilities of Machine Learning Engineers and includes an end-to-end walkthrough of the ML lifecycle within OCI. It involves data acquisition from various sources, data preparation, visualization, profiling, model building with open-source libraries, Oracle AutoML, model evaluation, interpretability with global and local explanations, and deployment using the model catalog.
Topic 5
  • OCI Data Science - Introduction & Configuration: This section of the exam measures the skills of Machine Learning Engineers and covers foundational concepts of Oracle Cloud Infrastructure (OCI) Data Science. It includes an overview of the platform, its architecture, and the capabilities offered by the Accelerated Data Science (ADS) SDK. It also addresses the initial configuration of tenancy and workspace setup to begin data science operations in OCI.

Latest 1z0-1110-25 Exam Tips, Test 1z0-1110-25 TestkingITExamSimulator is the best choice for those in preparation for exams. Many people have gained good grades after using our 1z0-1110-25 real test, so you will also enjoy the good results. Our free demo of 1z0-1110-25 training material provides you with the free renewal in one year so that you can keep track of the latest points happening in the world. As the questions of exams of our 1z0-1110-25 Exam Torrent are more or less involved with heated issues and customers who prepare for the exams must haven’t enough time to keep trace of exams all day long.
Oracle Cloud Infrastructure 2025 Data Science Professional Sample Questions (Q61-Q66):NEW QUESTION # 61
You're going to create an Oracle Cloud Infrastructure Anomaly Detection model for multivariate data. Where do you need to store the training data?
  • A. Object Storage Bucket
  • B. Your local machine
  • C. MySQL database
  • D. Autonomous Data Warehouse
Answer: A
Explanation:
Detailed Answer in Step-by-Step Solution:
* Understand OCI Anomaly Detection: This service trains models to detect anomalies in multivariate data (e.g., sensor readings), requiring data to be accessible within OCI's ecosystem.
* Assess Storage Requirements: The training data must be in a scalable, OCI-compatible location that the Anomaly Detection service can access programmatically.
* Evaluate Options:
* A. Your local machine: Data on a local machine isn't directly accessible to OCI services without upload, making it impractical for cloud-based training.
* B. MySQL database: While OCI supports MySQL, Anomaly Detection doesn't natively integrate with it for training data; it prefers file-based input.
* C. Autonomous Data Warehouse: This is a database for analytics, not the default storage for Anomaly Detection training data, which expects CSV/JSON files.
* D. Object Storage Bucket: OCI Object Storage is a scalable, durable storage service that Anomaly Detection uses to ingest training data (e.g., CSV files).
* Reasoning: Object Storage is the standard for large-scale data in OCI services, offering seamless integration with Anomaly Detection via APIs or SDKs.
* Conclusion: D is the correct choice as it aligns with the service's architecture.
The OCI Anomaly Detection service requires training data to be uploaded to an Object Storage Bucket in formats like CSV or JSON. This is explicitly outlined in the official documentation, which states that users must "upload the training dataset to an OCI Object Storage bucket" before creating a data asset for model training. Local storage (A) isn't viable for cloud processing, and databases like MySQL (B) or Autonomous Data Warehouse (C) aren't supported as primary inputs. Object Storage (D) provides the scalability and accessibility needed for multivariate anomaly detection workflows.
Oracle Cloud Infrastructure Anomaly Detection Documentation, "Preparing Training Data" section.

NEW QUESTION # 62
As a data scientist, you are trying to automate a machine learning (ML) workflow and have decided to use Oracle Cloud Infrastructure (OCI) AutoML Pipeline. Which THREE are part of the AutoML Pipeline?
  • A. Feature Selection
  • B. Algorithm Selection
  • C. Adaptive Sampling
  • D. Feature Extraction
  • E. Model Deployment
Answer: A,B,C
Explanation:
Detailed Answer in Step-by-Step Solution:
* Objective: Identify three stages in OCI AutoML Pipeline.
* Understand Pipeline: Automates ML steps from data to model training.
* Evaluate Options:
* A: Feature Selection-Selects relevant features-correct.
* B: Adaptive Sampling-Reduces data size-correct.
* C: Model Deployment-Post-pipeline step-incorrect.
* D: Feature Extraction-Not explicit in OCI AutoML-incorrect.
* E: Algorithm Selection-Chooses best model-correct.
* Reasoning: A, B, E are core automated stages; C and D are separate.
* Conclusion: A, B, E are correct.
OCI documentation lists "AutoML Pipeline stages as adaptive sampling (B), feature selection (A), algorithm selection (E), and hyperparameter tuning." Deployment (C) is post-pipeline, and extraction (D) isn't highlighted-only A, B, E are included per OCI's design.
Oracle Cloud Infrastructure AutoML Documentation, "Pipeline Components".

NEW QUESTION # 63
Which of these protects customer data at rest and in transit in a way that allows customers to meet their security and compliance requirements for cryptographic algorithms and key management?
  • A. Customer isolation
  • B. Data encryption
  • C. Identity Federation
  • D. Security controls
Answer: B
Explanation:
Detailed Answer in Step-by-Step Solution:
* Objective: Identify protection for data at rest/transit with customer control.
* Evaluate Options:
* A: Controls-Broad, not specific to encryption.
* B: Isolation-Separates tenants, not crypto-focused.
* C: Encryption-Secures data, allows key management-correct.
* D: Federation-Auth sharing, not data protection.
* Reasoning: C provides crypto control (e.g., Vault keys).
* Conclusion: C is correct.
OCI documentation states: "Data encryption (C) protects data at rest and in transit, with customer-managed keys in OCI Vault meeting compliance needs." A and B are broader, D is unrelated-only C fits per OCI's security model.
Oracle Cloud Infrastructure Security Documentation, "Data Encryption".

NEW QUESTION # 64
Which Oracle Cloud Service provides restricted access to target resources?
  • A. Internet Gateway
  • B. Bastion
  • C. Load Balancer
  • D. SSL Certificate
Answer: B
Explanation:
Detailed Answer in Step-by-Step Solution:
* Objective: Identify the OCI service for restricted resource access.
* Evaluate Options:
* A: Bastion-Secure, temporary access to resources-correct.
* B: Internet Gateway-Public access, not restricted.
* C: Load Balancer-Distributes traffic, not access control.
* D: SSL Certificate-Secures comms, not access.
* Reasoning: Bastion limits access (e.g., SSH) to specific targets.
* Conclusion: A is correct.
OCI documentation states: "OCI Bastion (A) provides restricted, audited access to target resources like instances, typically via SSH." B, C, and D don't restrict-only A fits per OCI's security services.
Oracle Cloud Infrastructure Bastion Documentation, "Overview".

NEW QUESTION # 65
How are datasets exported in the OCI Data Labeling service?
  • A. As an XML file
  • B. As a CSV file
  • C. As a binary file
  • D. As a line-delimited JSON file
Answer: D
Explanation:
Detailed Answer in Step-by-Step Solution:
* Understand OCI Data Labeling Export: After annotation, datasets are exported for ML use.
* Check Supported Formats: OCI Data Labeling exports annotations in a structured, machine-readable format.
* Evaluate Options:
* A: Binary isn't a standard export format for annotations.
* B: XML isn't used; JSON is preferred for flexibility.
* C: Line-delimited JSON is the correct format, aligning with ML workflows.
* D: CSV is common but not the default for OCI Data Labeling.
* Conclusion: C matches the official export format.
OCI Data Labeling exports annotated datasets as line-delimited JSON files, which store each annotation as a separate JSON object per line, suitable for ML pipelines. This is explicitly stated in the documentation.
(Reference: Oracle Cloud Infrastructure Data Labeling Service Documentation, "Exporting Datasets").

NEW QUESTION # 66
......
1z0-1110-25 exam tests are a high-quality product recognized by hundreds of industry experts. Over the years, 1z0-1110-25 exam questions have helped tens of thousands of candidates successfully pass professional qualification exams, and help them reach the peak of their career. It can be said that 1z0-1110-25 test guide is the key to help you open your dream door. We have enough confidence in our products, so we can give a 100% refund guarantee to our customers. 1z0-1110-25 Exam Questions promise that if you fail to pass the exam successfully after purchasing our product, we are willing to provide you with a 100% full refund.
Latest 1z0-1110-25 Exam Tips: https://www.itexamsimulator.com/1z0-1110-25-brain-dumps.html
DOWNLOAD the newest ITExamSimulator 1z0-1110-25 PDF dumps from Cloud Storage for free: https://drive.google.com/open?id=18X9o7r1ac2lbxVoKdsuBuRMkpxLq3IpX
https://www.crampdf.com
Reply

Use props Report

Return to List
High mode
B Color Image Link Quote Code Smilies
You need to log in before you can reply Login | Register

This forum Credits Rules

  •  

Service Hotline : (+86)18688117175
Contact us
E-mail : global@t-firefly.com
Copyright © 2014-2022, FIREFLY TECHNOLOGY CO.,LTD. All Rightts Reserved. 粤ICP备14022046号-2
Quick Reply Back to top Back to list