A credential backed by Oracle carries real weight with hiring managers, and the Oracle Cloud Infrastructure Data Science 2022 Professional exam is how you earn one. Preparing with the 58 practice questions from ActualCollection keeps every study hour focused on what the exam actually asks.
Oracle 1z0-1110-22 Exam Overview:
| Certification Vendor: | Oracle |
|---|---|
| Exam Name: | Oracle Cloud Infrastructure Data Science 2022 Professional |
| Exam Number: | 1z0-1110-22 |
| Exam Price: | USD $245 |
| Exam Format: | Scenarios Based, Multiple Choice |
| Real Exam Qty: | 70 |
| Exam Duration: | 90 minutes |
| Passing Score: | 64% |
| Related Certifications: | Oracle Cloud Infrastructure Data Science 2022 Professional |
| Certificate Validity Period: | 2 years |
| Available Languages: | English |
| Sample Questions: |  |
| Exam Way: | Online Proctored / Onsite Testing Center |
| Pre Condition: | Recommended: familiarity with data science concepts, Python, SQL, and basic cloud infrastructure; no strict prerequisites but relevant experience is beneficial |
| Official Syllabus URL: | https://education.oracle.com/oracle-cloud-infrastructure-data-science-2022-professional |
Oracle 1z0-1110-22 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Integration with OCI Services | 15% | - Security and IAM for Data Science resources - Logging and monitoring with OCI Logging and Monitoring - Integration with OCI Functions for serverless inference - Using OCI Resource Manager and IaC |
| Topic 2: Data Storage and Management for Data Science | 15% | - Using OCI Object Storage for data assets - Data versioning and lifecycle management - Integrating with OCI Data Flow for large-scale processing |
| Topic 3: Machine Learning Workflows on OCI | 25% | - Creating and managing ML projects - Using JupyterLab and conda environments - Training, tuning, and evaluating models - Algorithm selection and model development |
| Topic 4: OCI Data Science API and SDK | 10% | - REST API interactions - Automating workflows with SDK - Using the OCI Python SDK for Data Science |
| Topic 5: Model Deployment and Operations | 20% | - A/B testing and model versioning - Model monitoring and management - Deploying models as endpoints - OCI Data Science Model Catalog |
| Topic 6: OCI Data Science Service Overview and Architecture | 15% | - OCI Data Science vs. traditional data science environments - Understanding OCI Data Science core concepts and features - OCI Data Science service architecture components |
Oracle 1z0-1110-22 Exam: Frequently Asked Questions
The Oracle Cloud Infrastructure Data Science 2022 Professional exam is the official Oracle test registered under exam code 1z0-1110-22. Passing it earns you the Oracle Cloud Infrastructure certification, a credential at the Professional level. It is also linked to the related certification: Oracle Cloud Infrastructure Data Science 2022 Professional. Oracle exams are valued because they test job-ready skills, so a passing score here carries real weight on a resume.
The Oracle Cloud Infrastructure Data Science 2022 Professional exam includes 70 questions to be completed within 90 minutes. Do the pacing math before exam day: with that many items on the clock, you need a steady rhythm and the discipline to flag a hard question and move on instead of stalling. Two or three full timed sessions with the ActualCollection test engine will show you exactly what that pace feels like, so time pressure stops being a factor on the real day.
To pass the Oracle Cloud Infrastructure Data Science 2022 Professional exam you need 64%, and the official registration fee is USD $245. A retake is not discounted: a failed attempt means paying the full USD $245 again, so treat your first sitting as the expensive one. A sensible rule is to book your seat only after you are scoring comfortably above the passing mark on the ActualCollection practice tests, not just squeaking past it once.
Recommended: familiarity with data science concepts, Python, SQL, and basic cloud infrastructure; no strict prerequisites but relevant experience is beneficial
Eligibility rules do change from time to time, so confirm the current requirements before you register on the official exam page.
Yes. ActualCollection offers a free PDF demo of the Oracle Cloud Infrastructure Data Science 2022 Professional material so you can judge the question quality and format before spending anything. After purchase, your license includes 365 days of free updates, and if you want to keep receiving updates after that period, renewals are available at a 50% discount.
If you take the Oracle Cloud Infrastructure Data Science 2022 Professional exam within 60 days of your purchase and do not pass, ActualCollection backs you with a 100% money-back guarantee. The claim must match the exam your product covers: attempts taken within 3 days of purchase are not eligible (that is too little preparation time), and neither are downloaded-but-unused products, free materials, or expired orders. The candidate name must match the payer name, and you need to submit a scanned enrollment slip plus the official Score Report PDF within 2 days of the exam; claims are processed within 7 days. Prefer not to refund? You can swap instead and receive two other exam products of equal value for free while keeping the update service on your original purchase.
Delivery itself is instant: your files are downloadable right away and emailed to you within one minute of payment. If nothing arrives within 2 hours, contact customer service. There is no limit on how many computers you may install the software on.
The official Oracle Cloud Infrastructure Data Science 2022 Professional syllabus is organized into 6 domains. Key areas include Machine Learning Workflows on OCI (25%), Integration with OCI Services (15%), and Data Storage and Management for Data Science (15%). The complete, up-to-date topic list appears in the exam topics section above; work through it line by line and flag anything you cannot yet explain in your own words.
Oracle Cloud Infrastructure Data Science 2022 Professional Sample Questions:
You are a computer vision engineer building an image recognition model. You decide to use Oracle Data Labeling to annotate your image dat a. Which of the following THREE are possible ways to annotate an image in Data Labeling?
- A. Adding labels to image using semantic segmentation, by drawing multiple bounding boxes to an image.
- B. Adding a single label to an image.
- C. Adding labels to an image using object detection, by drawing bounding boxes to an im-age.
- D. Adding multiple labels to an image.
- E. Adding labels to an image by drawing bounding box to an image, is not supported by Data Labeling
Correct Answer: B,C,D 🗳️
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_adaptive_sampling_trails()
- B. Oracle.automl.print_trials()
- C. Oracle.automl.visualize_tuning_trails()
- D. Oracle.automl.visualize_algorith_selection_trails()
Correct Answer: B 🗳️
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. Configure core-site.xml. Install a PySPark conda environment. Create a Data Flow application with the Accelerated Data Science (ADS) SDK Develop your PySpark ap-plication. Launch a notebook session.
- B. Develop your PySpark application Create a Data Flow application with the Ac-celerated Data Science (ADS) SOK
- C. Launch a notebook session. Install a PySpark conda environment. Configure coresite. xml.
- D. Develop your PySpark application. Create a Data Flow application with the Ac-celerated Data science (ADS) SDK.
- E. Launch a notebook session. Configure core-site.xml. Install a PySPark conda environ-ment.
- F. Install a spark conda environment. Configure core-site.xml. Launch a notebook session: Create a Data Flow application with the Accelerated Data Science (ADS) SOK. Develop your PySpark application
Correct Answer: D 🗳️
You have developed a model training code that regularly checks for new data in Object Storage and retrains the model. Which statement best describes the Oracle Cloud Infrastructure (OCI) services that can be accessed from Data Science Jobs?
- A. Data Science Jobs cannot access all OCI services.
- B. Data Science Jobs can access all OCI services.
- C. Data Science Jobs can access OCI resources only via the resource principal.
- D. Some OCI services require authorizations not supported by Data Science Jobs.
Correct Answer: B 🗳️
What preparation steps are required to access an Oracle AI service SDK from a Data Science notebook session?
- A. Create and upload execute.py and runtime.yaml
- B. Create and upload the API signing key and config file
- C. Import the REST API
- D. Call the Accented Data Science (ADS) command to enable Al integration
Correct Answer: B 🗳️
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