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Oracle 1Z0-1110-26 Exam Overview:
| Certification Vendor: | Oracle |
|---|---|
| Exam Name: | Oracle Cloud Infrastructure 2026 Data Science Professional |
| Exam Number: | 1Z0-1110-26 |
| Available Languages: | English |
| Related Certifications: | Oracle Cloud Infrastructure AI Foundations Associate Oracle Cloud Infrastructure Data Science Professional Oracle Cloud Infrastructure Foundations Associate |
| Exam Format: | Multiple Choice |
| Real Exam Qty: | 50 |
| Passing Score: | 68% |
| Exam Price: | USD $245 |
| Exam Duration: | 90 minutes |
| Certificate Validity Period: | Oracle certifications based on the latest annual exam version remain current until the corresponding exam version is retired. |
| Recommended Training: | Oracle Cloud Infrastructure Data Science Professional Learning Path Oracle Learning Explorer |
| Exam Registration: | Oracle University Exam Page Oracle Certification Portal |
| Sample Questions: | Oracle 1Z0-1110-26 Sample Questions |
| Exam Way: | Available through Oracle University with online proctored delivery and authorized test centers (where available). |
| Pre Condition: | There are no mandatory prerequisites. Oracle recommends hands-on experience with Oracle Cloud Infrastructure Data Science and familiarity with machine learning concepts. |
| Official Syllabus URL: | https://education.oracle.com/es/ouexam-pexam_1z0-1110-26/pexam_1Z0-1110-26 |
Oracle 1Z0-1110-26 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| MLOps and OCI Integration | 20% | - OCI ecosystem
|
| Model Development and Deployment | 30% | - Model deployment
|
| OCI Data Science Service | 30% | - Projects and notebooks
|
| Machine Learning Fundamentals | 20% | - Supervised learning
|
Oracle Cloud Infrastructure Data Science Professional Sample Questions:
Question 1
You have an image classification model in the model catalog which is deployed as an HTTP endpoint using model deployments. Your tenancy administrator is seeing increased demands and has asked you to increase the load balancing bandwidth from the default of 10Mbps. You are provided with the following information:
Payload size in KB = 1024
Estimated requests per second = 120 requests/second (Monday through Friday, in every month, in every year) Buffer percentage = 20%What is the optimal load balancing bandwidth to redeploy your model?
A. 452 Mbps
B. 7052 Mbps
C. 1152 Mbps
D. 52 Mbps
Question 2
What is the name of the machine learning library used in Apache Spark?
A. HadoopML
B. GraphX
C. MLib
D. Structured Streaming
Question 3
You are working as a Data Scientist for a healthcare company. You have a series of neurophysiological data on OCI Data Science and have developed a convolutional neural network (CNN) classification model. It predicts the source of seizures in drug-resistant epileptic patients. You created a model artifact with all the necessary files. When you deployed the model, it failed to run because you did not point to the correct conda environment in the model artifact. Where would you provide instructions to use the correct conda environment?
A. model_artifact_validate.py
B. runtime.yaml
C. score.py
D. requirements.txt
Question 4
How can you collaborate with team members in OCI Data Science Workspace?
A. By enabling chat and video conferencing within the workspace
B. By sharing the workspace instance with other users
C. By using version control systems integrated with the workspace
D. By granting access to specific notebooks and files
Question 5
What is feature engineering in machine learning used for?
A. To perform parameter tuning
B. To help understand the dataset features
C. To transform existing features into new ones
D. To interpret ML models
Solutions:
| Question 1 Answer: C | Question 2 Answer: C | Question 3 Answer: B | Question 4 Answer: C | Question 5 Answer: C |
By Ahern
