Will Allen Will Allen's صفحة الملف الشخصي

Will Allen Will Allen

0 دورة ملتحَق بها • 0 اكتملت الدورة

سيرة شخصية

Unlimited 1z0-1110-25 Exam Practice | Reliable 1z0-1110-25 Real Exam

For candidates who are going to buy 1z0-1110-25 test materials online, they may pay more attention to the money safety. We applied international recognition third party for the payment, all our online payment are accomplished by the third safe payment gateway. If you choose us, there is no necessary for you to worry about this, since the third party will protect interests of you. In addition, 1z0-1110-25 Exam Braindumps are high quality, and you can use them at ease. You can try free demo before buying 1z0-1110-25 exam dumps, so that you can know the mode of the complete version.

Oracle 1z0-1110-25 Exam Syllabus Topics:

Topic
Details

Topic 1

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 2

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 3

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 4

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 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.

>> Unlimited 1z0-1110-25 Exam Practice <<

Another way to prepare for the 1z0-1110-25 Exam

You will get high passing score in the Oracle 1z0-1110-25 Real Exam with our valid test questions and answers. ValidBraindumps can provide you with the most reliable 1z0-1110-25 exam dumps and study guide to ensure you get certification smoothly. We guarantee the high accuracy of questions and answers to help candidates pass exam with 100% pass rate.

Oracle Cloud Infrastructure 2025 Data Science Professional Sample Questions (Q24-Q29):

NEW QUESTION # 24
You have received machine learning model training code, without clear information about the optimal shape to run the training on. How would you proceed to identify the optimal compute shape for your model training that provides a balanced cost and processing time?

A. Start with a small 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.
B. Start with a random compute shape and monitor the utilization metrics and time required to finish the model training. Perform model training optimization and performance tests in advance to identify the right compute shape before running the model training as a job.
C. Start 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.
D. Start 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.

Answer: A

Explanation:
Detailed Answer in Step-by-Step Solution:
* Objective: Find optimal compute shape balancing cost and time.
* Approach: Iterative testing with metrics (e.g., CPU/memory usage, runtime).
* Evaluate Options:
* A: Tuning parameters when underutilized-focuses on model, not shape optimization.
* B: Strongest shape-Costly, ignores balance; overkill likely.
* C: Scale up from small shape when fully utilized-Balances cost/time effectively.
* D: Random start with pre-tests-Unsystematic and inefficient.
* Reasoning: C incrementally increases resources based on utilization, optimizing both factors.
* Conclusion: C is correct.
OCI documentation advises: "To optimize compute shape for Jobs, start with a small shape, monitor utilization (e.g., CPU, memory) and runtime via OCI Monitoring. If fully utilized, scale up until performance plateaus-balancing cost and speed." A misfocuses on model tuning, B wastes cost, and D lacks structure- only C aligns with this method.
Oracle Cloud Infrastructure Data Science Documentation, "Optimizing ComputeShapes for Jobs".

NEW QUESTION # 25
You loaded data into Oracle Cloud Infrastructure (OCI) Data Science. To transform the data, you want to use the Accelerated Data Science (ADS) SDK. When you applied the get_recommendations() tool to the ADSDataset object, it showed you user-detected issues with all the recommended changes to apply to the dataset. Which option should you use to apply all the recommended transformations at once?

A. fit_transform()
B. visualize_transforms()
C. get_transformed_dataset()
D. auto_transform()

Answer: D

Explanation:
Detailed Answer in Step-by-Step Solution:
* Objective: Apply all recommended transformations from get_recommendations() in ADS.
* Understand ADS Tools: get_recommendations() suggests fixes (e.g., missing values).
* Evaluate Options:
* A: Returns transformed data-Not for applying-incorrect.
* B: Sklearn-style, not ADS-specific-incorrect.
* C: auto_transform()-Applies all recommendations-correct.
* D: Visualizes, doesn't apply-incorrect.
* Reasoning: auto_transform() executes the fixes suggested by get_recommendations().
* Conclusion: C is correct.
OCI documentation states: "After get_recommendations() identifies issues, use auto_transform() (C) on the ADSDataset to apply all recommended transformations at once." A retrieves, B is external, D visualizes- only C aligns with OCI's ADS transformation workflow.
Oracle Cloud Infrastructure ADS SDK Documentation, "Data Transformation Methods".

NEW QUESTION # 26
Which of these is a unique feature of the published conda environment?

A. Provides availability on network session reactivation
B. Allows you to save the conda environment to an Object Storage Bucket
C. Allows you to save the conda environment in a block volume
D. Provides a comprehensive environment to solve business use cases

Answer: B

Explanation:
Detailed Answer in Step-by-Step Solution:
* Understand Published Conda Environments: In OCI Data Science, these are custom conda environments shared across users via Object Storage.
* Evaluate Options:
* A: Vague-All conda environments can address use cases; not unique to "published."
* B: Incorrect-Availability on reactivation applies to session persistence, not publishing.
* C: Correct-Publishing saves the environment to Object Storage for sharing/reuse.
* D: Incorrect-Block volumes store session data, not published environments.
* Reasoning: The unique aspect of "published" environments is their storage in Object Storage (via odsc conda publish), enabling team access.
* Conclusion: C is the distinctive feature.
The OCI Data Science documentation highlights that "published conda environments are saved to an OCI Object Storage Bucket, allowing them to be shared across notebook sessions and users." This distinguishes C from A (generic), B (session-related), and D (block volume is for session state, not publishing). Publishing to Object Storage is the defining trait per Oracle's design.
Oracle Cloud Infrastructure Data Science Documentation, "Managing Conda Environments - Publishing" section.

NEW QUESTION # 27
You want to make API calls against other OCI services from your instance without configuring user credentials. How would you achieve this?

A. Create a dynamic group and add your instance
B. Create a group and add a policy
C. Create a dynamic group and add a policy
D. No configuration is required for making API calls

Answer: C

Explanation:
Detailed Answer in Step-by-Step Solution:
* Objective: Enable credential-less API calls from an instance.
* Understand Resource Principal: Allows instances to authenticate via IAM without user creds.
* Evaluate Options:
* A: Dynamic group + policy-Correct; groups instance, grants access.
* B: Dynamic group only-Incomplete; needs policy.
* C: User group-Irrelevant for instances.
* D: No config-False; setup required.
* Reasoning: A sets up resource principal fully-group and perms.
* Conclusion: A is correct.
OCI documentation states: "To make API calls without credentials, create a dynamic group including the instance and add a policy (A) granting access to OCI services-enables resource principal." B lacks policy, C is user-based, D is false-only A completes the process per OCI's IAM setup.
Oracle Cloud Infrastructure IAM Documentation, "Resource Principal Configuration".

NEW QUESTION # 28
Which statement best describes Oracle Cloud Infrastructure Data Science Jobs?

A. Jobs let you define and run all Oracle Cloud DevOps workloads.
B. Jobs let you define and run repeatable tasks on customer-managed infrastructure.
C. Jobs let you define and run repeatable tasks on fully managed third-party cloud infrastructures.
D. Jobs let you define and run repeatable tasks on fully managed infrastructure.

Answer: D

Explanation:
Detailed Answer in Step-by-Step Solution:
* Understand OCI Data Science Jobs: This service automates ML tasks (e.g., training, evaluation) with configurable, repeatable executions.
* Key Characteristics: Jobs run on OCI's infrastructure, managed by Oracle, not the customer or third parties, and are specific to Data Science, not general DevOps.
* Evaluate Options:
* A: Correct-Jobs are defined by users (e.g., via scripts) and executed on OCI's fully managed compute resources.
* B: Incorrect-Infrastructure is managed by OCI, not the customer.
* C: Incorrect-No third-party cloud integration; it's OCI-specific.
* D: Incorrect-Jobs are for Data Science tasks (e.g., ML training), not all DevOps workloads (e.
g., CI/CD pipelines).
* Reasoning: "Fully managed" means OCI handles provisioning and scaling, aligning with A.
* Conclusion: A accurately reflects the service's purpose and operation.
OCI Data Science Jobs "allow users to define and execute repeatable machine learning tasks, such as model training or batch processing, on fully managed OCI infrastructure." This eliminates customer management (B), third-party clouds (C), or broad DevOps scope (D). The documentation emphasizes automation and management by OCI, making A the precise description.
Oracle Cloud Infrastructure Data Science Documentation, "Overview of Jobs" section.

NEW QUESTION # 29
......

Our 1z0-1110-25 learning prep boosts many advantages and varied functions to make your learning relaxing and efficient. The client can have a free download and tryout of our 1z0-1110-25 exam torrent before they purchase our product and can download our 1z0-1110-25 study materials immediately after the client pay successfully. And if there is the update of our 1z0-1110-25 learning guide the system will send the update automatically to the client. Thus you can have an efficient learning and a good preparation of the exam. It is believed that our 1z0-1110-25 latest question is absolutely good choices for you.

Reliable 1z0-1110-25 Real Exam: https://www.validbraindumps.com/1z0-1110-25-exam-prep.html

Will Allen Will Allen

سيرة شخصية

القائمة الرئيسية

روابط هامة

ساعات العمل