Blog - AcadEx COGNITIVE

Eli Fox Eli Fox

0 Course Enrolled • 0 Course Completed

Biography

Latest 1z0-1110-25 Exam Registration & 1z0-1110-25 Latest Test Answers

Our 1z0-1110-25 exam materials have three different versions: the PDF, Software and APP online. All these three types of 1z0-1110-25 learning quiz win great support around the world and all popular according to their availability of goods, prices and other term you can think of. 1z0-1110-25 practice materials are of reasonably great position from highly proficient helpers who have been devoted to their quality over ten years to figure your problems out and help you pass the exam easily.

You must ensure that you can pass the exam quickly, so you must choose an authoritative product. Our 1z0-1110-25 exam materials are certified by the authority and have been tested by our tens of thousands of our worthy customers. This is a product that you can definitely use with confidence. And with our 1z0-1110-25 training guide, you can find that the exam is no long hard at all. It is just a piece of cake in front of you. What is more, you can get your 1z0-1110-25 certification easily.

>> Latest 1z0-1110-25 Exam Registration <<

1z0-1110-25 Latest Test Answers - Test 1z0-1110-25 Pattern

With "reliable credit" as the soul of our 1z0-1110-25 study tool, "utmost service consciousness" as the management philosophy, we endeavor to provide customers with high quality service. Our customer service staff, who are willing to be your little helper and answer your any questions about our 1z0-1110-25 qualification test, fully implement the service principle of customer-oriented service on our 1z0-1110-25 Exam Questions. Any puzzle about our 1z0-1110-25 test torrent will receive timely and effective response, just leave a message on our official website or send us an e-mail for our 1z0-1110-25 study guide.

Oracle 1z0-1110-25 Exam Syllabus Topics:

Topic
Details

Topic 1

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 2

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.

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

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

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.

Oracle Cloud Infrastructure 2025 Data Science Professional Sample Questions (Q135-Q140):

NEW QUESTION # 135
Which CLI command allows the customized conda environment to be shared with co-workers?

A. odsc conda clone
B. odsc conda install
C. odsc conda publish
D. odsc conda modify

Answer: C

Explanation:
Detailed Answer in Step-by-Step Solution:
* Objective: Share a custom conda environment in OCI Data Science.
* Understand Commands: OCI provides odsc CLI for environment management.
* Evaluate Options:
* A: clone duplicates an environment locally-not for sharing.
* B: publish uploads the environment to Object Storage for team access-correct.
* C: modify doesn't exist as a standard command.
* D: install sets up an environment locally-not for sharing.
* Reasoning: Sharing requires publishing to a shared location (Object Storage), which publish achieves.
* Conclusion: B is the correct command.
The OCI Data Science CLI documentation states: "Use odsc conda publish to package and upload a custom conda environment to an Object Storage Bucket, making it accessible to other users." clone (A) is for local duplication, modify (C) isn't valid, and install (D) is for local setup-not sharing. B is the designated sharing mechanism.
Oracle Cloud Infrastructure Data Science CLI Reference, "odsc conda publish".

NEW QUESTION # 136
You are working as a data scientist for a healthcare company. They decided to analyze the data to find patterns in a large volume of electronic medical records. You are asked to build a PySpark solution to analyze these records in a JupyterLab notebook. What is the order of recommended steps to develop a PySpark application in OCI Data Science?

A. Install a Spark conda environment, configure core-site.xml, launch a notebook session, create a Data Flow application with the Accelerated Data Science (ADS) SDK, develop your PySpark application
B. Configure core-site.xml, install a PySpark conda environment, create a Data Flow application with the Accelerated Data Science (ADS) SDK, develop your PySpark application, launch a notebook session
C. Launch a notebook session, install a PySpark conda environment, configure core-site.xml, develop your PySpark application, create a Data Flow application with the Accelerated Data Science (ADS) SDK
D. Launch a notebook session, configure core-site.xml, install a PySpark conda environment, develop your PySpark application, create a Data Flow application with the Accelerated Data Science (ADS) SDK

Answer: C

Explanation:
Detailed Answer in Step-by-Step Solution:
* Objective: Sequence steps for a PySpark app in OCI Data Science.
* Evaluate Steps:
* Launch notebook: First-provides the environment.
* Install PySpark conda: Second-sets up Spark libraries.
* Configure core-site.xml: Third-connects to data (e.g., Object Storage).
* Develop app: Fourth-writes the PySpark code.
* Data Flow: Fifth-optional scaling, post-development.
* Check Options: D (1, 2, 3, 4, 5) matches this logical flow.
* Reasoning: Notebook first, then setup, coding, and scaling.
* Conclusion: D is correct.
OCI documentation recommends: "1) Launch a notebook session, 2) install a PySpark conda environment, 3) configure core-site.xml for data access, 4) develop your PySpark application, and 5) optionally use Data Flow for scale." D follows this-others (A, B, C) misorder critical steps like launching the notebook.
Oracle Cloud Infrastructure Data Science Documentation, "PySpark in Notebooks".

NEW QUESTION # 137
What is the correct definition of Git?

A. Git is a centralized version control system that allows you to revert to previous versions of files as needed.
B. Git is a distributed version control system that allows you to track changes made to a set of files.
C. Git is a distributed version control system that protects teams from simultaneous repo contributions and merge requests.
D. Git is a centralized version control system that allows data scientists and developers to track copious amounts of data.

Answer: B

Explanation:
Detailed Answer in Step-by-Step Solution:
* Define Git: Git is a version control system-centralized vs. distributed is key.
* Evaluate Options:
* A: Incorrect-Git is distributed, not centralized (e.g., SVN is centralized).
* B: Correct-Distributed, tracks file changes across local and remote repos.
* C: Incorrect-Git allows simultaneous contributions; it manages, not prevents, merges.
* D: Incorrect-Centralized is wrong, and "copious data" is vague.
* Reasoning: Git's distributed nature (each user has a full repo copy) and change-tracking are core traits.
* Conclusion: B is accurate.
OCI documentation aligns with Git's official definition: "Git is a distributed version control system that tracks changes to files, enabling collaboration and version history management." A and D misclassify it as centralized, while C misrepresents merge handling-B captures Git's essence as used in OCI Data Science.
Oracle Cloud Infrastructure Code Repository Documentation, "Git Overview".

NEW QUESTION # 138
You want to make your model more frugal to reduce the cost of collecting and processing data. You plan to do this by removing features that are highly correlated. You would like to create a heatmap that displays the correlation so that you can identify candidate features to remove. Which Accelerated Data Science (ADS) SDK method is appropriate to display the comparability between Continuous and Categorical features?

A. correlation_ratio_plot()
B. pearson_plot()
C. cramersv_plot()
D. corr()

Answer: A

Explanation:
Detailed Answer in Step-by-Step Solution:
* Objective: Visualize correlation between continuous and categorical features.
* Evaluate Options:
* A: Pearson-Continuous vs. continuous-incorrect.
* B: Cramer's V-Categorical vs. categorical-incorrect.
* C: Correlation ratio-Continuous vs. categorical-correct.
* D: General correlation-Not specific to mixed types.
* Reasoning: Correlation ratio handles mixed feature types for heatmaps.
* Conclusion: C is correct.
OCI documentation states: "correlation_ratio_plot() (C) in ADS SDK visualizes correlations between continuous and categorical features, ideal for mixed-type heatmaps." Pearson (A) and Cramer's (B) are type- specific, corr() (D) is broad-only C fits per ADS capabilities.
Oracle Cloud Infrastructure ADS SDK Documentation, "Correlation Visualization".

NEW QUESTION # 139
What is a common maxim about data scientists?

A. They spend 80% of their time on failed analytics projects and 20% doing useful work.
B. They spend 80% of their time finding and preparing data and 20% analyzing it.
C. They spend 80% of their time analyzing data and 20% finding and preparing it.

Answer: B

Explanation:
Detailed Answer in Step-by-Step Solution:
* Objective: Identify a widely accepted maxim about data scientists' time allocation.
* Understand Data Science Workflow: Involves data collection, preparation, and analysis-time distribution is key.
* Evaluate Options:
* A: 80% on finding/preparing, 20% analyzing-Reflects the data wrangling challenge.
* B: 80% analyzing, 20% finding/preparing-Inverts the common perception.
* C: 80% on failed projects, 20% useful-Pessimistic, not a standard maxim.
* Reasoning: Industry consensus (e.g., "80/20 rule") emphasizes data prep as the bulk of effort due to messy real-world data.
* Conclusion: A is correct.
OCI Data Science documentation aligns with industry norms: "Data scientists typically spend 80% of their time finding, cleaning, and preparing data, and 20% on analysis and modeling, due to the complexity of raw data." B reverses this, and C isn't supported-only A reflects this widely cited maxim from sources like Forbes and OCI's practical guidance.
Oracle Cloud Infrastructure Data Science Documentation, "Data Science WorkflowOverview".

NEW QUESTION # 140
......

If you are still afraid of trying our 1z0-1110-25 exam quiz, you will never have a chance to grow. Opportunities are always for those who prepare themselves well. The only way to harvest wealth is challenging all the time. Our 1z0-1110-25 practice materials are waiting for you. Cheer up for yourself. There is nothing that you will lose for our demos of the 1z0-1110-25 study materials are totally free to download.

1z0-1110-25 Latest Test Answers: https://www.real4exams.com/1z0-1110-25_braindumps.html

Eli Fox Eli Fox

Biography

Online Platform

Contacts