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Oracle 1z0-1110-23 Exam Overview:
| Certification Vendor: | Oracle |
|---|---|
| Exam Name: | Oracle Cloud Infrastructure Data Science 2023 Professional |
| Exam Number: | 1Z0-1110-23 |
| Exam Duration: | 90 minutes |
| Available Languages: | English |
| Real Exam Qty: | 55 |
| Passing Score: | 68% |
| Exam Price: | $245 USD |
| Certificate Validity Period: | Oracle certifications do not currently expire unless specifically retired by Oracle |
| Exam Format: | Multiple Choice |
| Related Certifications: | Oracle Cloud Infrastructure Data Science Professional |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored exam or test center delivery through Oracle Certification. |
| Pre Condition: | Oracle recommends experience with machine learning concepts, Python, OCI services, and OCI Data Science before attempting the exam. |
| Official Syllabus URL: | https://education.oracle.com/oracle-cloud-infrastructure-data-science-2023-professional/pexam_1Z0-1110-23 |
Oracle 1z0-1110-23 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Model Development | 30% | - Machine Learning Workflow
|
| Data Preparation and Exploration | 20% | - Data Access and Ingestion
|
| Security and Governance | 15% | - OCI Security Controls
|
| Model Deployment and MLOps | 25% | - Model Deployment
|
| Introduction to OCI Data Science | 10% | - OCI Data Science Service Overview
|
Oracle Cloud Infrastructure Data Science 2023 Professional: Frequently Asked Questions
The 1z0-1110-23 exam leads to the Oracle Cloud certification from Oracle. It is positioned at the Professional level. The exam validates the knowledge and skills expected of candidates preparing for Oracle Cloud Infrastructure Data Science 2023 Professional.
Related certifications include:
- Oracle Cloud Infrastructure Data Science Professional
The 1z0-1110-23 exam includes 55 questions and allows 90 minutes. Before test day, divide the available time by the number of questions in a timed practice set to establish a steady per-question pace. If a difficult item starts consuming too much time, mark it for review and move forward instead of losing momentum. A full timed practice session can help you decide when to move on, when to return, and how much buffer to reserve for a final check.
The passing score for 1z0-1110-23 is 68%, and the official exam fee is $245 USD. Because a retake requires paying the exam fee again, use timed practice results as a readiness check before scheduling your next attempt. If your performance remains inconsistent, continue reviewing weak domains and repeat a timed session before booking the exam.
Oracle recommends experience with machine learning concepts, Python, OCI services, and OCI Data Science before attempting the exam.
Eligibility rules can change, so confirm the current requirements on the official exam page before registering.
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If you purchase the corresponding 1z0-1110-23 preparation material and do not pass that exam within 60 days of purchase, you may apply for a full refund under the 100% Money Back Guarantee. The request requires a scanned exam enrollment slip and the official Score Report PDF, submitted within two days after the exam. Eligible requests are processed within seven days.
Claims are not eligible if the exam was taken within three days of purchase, the product was downloaded without an exam attempt, the order was free or expired, or the candidate name does not match the payer name. If you prefer an exchange instead of a refund, you can receive two free products of equal value while keeping the update service for your original purchase.
Delivery is immediate after checkout. The download is available right away, and the product is also sent to your email within one minute. Contact customer support if it has not arrived within two hours. You may install the product on an unlimited number of computers.
The current 1z0-1110-23 outline is organized into 5 top-level domains. The first listed areas include:
- Introduction to OCI Data Science (10%)
- Data Preparation and Exploration (20%)
- Model Deployment and MLOps (25%)
Review the Exam Topics section above for the complete outline and any nested subtopics.
Oracle Cloud Infrastructure Data Science 2023 Professional Sample Questions:
Question 1
data scientist, you use the Oracle Cloud Infrastructure (OCI) Language service to train custom models. Which types of custom models can be trained?
A. Text classification, Named Entity Recognition (NER)
B. Image classification, Named Entity Recognition (NER)
C. Object detection, Text classification
D. Sentiment Analysis, Named Entity Recognition (NER)
Question 2
You want to use ADSTuner to tune the hyperparameters of a supported model you recently trained. You have just started your search and want to reduce the computational cost as well as access the quality of the model class that you are using.
What is the most appropriate search space strategy to choose?
A. Perfunctory
B. Pass a dictionary that defines a search space
C. ADSTuner doesn't need a search space to tune the hyperparameters.
D. Detailed
Question 3
You have created a conda environment in your notebook session. This is the first time you are working with published conda environments. You have also created an Object Storage bucket with permission to manage the bucket.
Which two commands are required to publish the conda environment?
A. odac conda publish --slug <SLUG>
B. odsc conda list --override
C. odsc conda create --file manifest.yaml
D. odsc conda init --bucket_namespace <NAMESPACE> --bucket_name <BUCKET>
E. conda activate /home/datascience/conda/<SLUG>
Question 4
The Oracle AutoML pipeline automates hyperparameter tuning by training the model with different parameters in parallel. You have created an instance of Oracle AutoML as ora-cle_automl and now you want an output with all the different trials performed by Oracle Au-toML. Which of the following command gives you the results of all the trials?
A. Oracle.automl.visualize_algorith_selection_trails()
B. Oracle.automl.visualize_adaptive_sampling_trails()
C. Oracle.automl.visualize_tuning_trails()
D. Oracle.automl.print_trials()
Question 5
You are working as a data scientist for a healthcare company. They decide 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 Oracle Cloud Infrastructure (OCI) Data Science?
A. 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.
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. 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.
E. 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.
Solutions:
| Question 1 Answer: A | Question 2 Answer: A | Question 3 Answer: A,D | Question 4 Answer: D | Question 5 Answer: A |
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