1Z0-1110-25 sample questions

Question 1

A data scientist is using the Oracle Accelerated Data Science (ADS) SDK to prepare a dataset for training. The dataset contains several columns with sensitive PII that need to be redacted before model training. Which ADS feature should be used to automatically identify and treat these sensitive columns?

Accepted Answer

Apply PII masking recommendations provided by `ads.dataset.factory` during the data loading stage.

Answer

Use `ads.dataset.label_encoder` to obfuscate the data.

Answer

Utilize the `ads.dataset.helper.up_sample` function.

Answer

Use the ADS `ADSTuner` to filter out PII features.

Question 2

You are managing a custom Conda environment for your team. You have installed several proprietary libraries and verified the environment locally. You now need to share this environment with your team members so they can use it in their own Notebook Sessions. What is the correct sequence of steps to achieve this?

Accepted Answer

Publish the Conda environment to OCI Object Storage using `odsc conda publish`, then team members use `odsc conda install`.

Answer

Export the environment to a YAML file, upload it to OCI Object Storage, and have team members run `conda env create -f`.

Answer

Create a Docker container with the environment and push it to OCI Registry (OCIR).

Answer

Copy the local conda directory to a shared Block Volume and attach that volume to all team members' notebook sessions.

Question 3

Which TWO of the following are valid data sources that can be directly ingested using the `ads.dataset.factory.DatasetFactory.open()` method in the OCI Data Science ADS SDK? (Select TWO)

Accepted Answer

OCI Object Storage files (using `oci://` scheme)

Accepted Answer

Local CSV files

Answer

Direct JDBC connection to Oracle Autonomous Database without a wallet

Answer

AWS S3 buckets without credentials

Question 4

You have trained a machine learning model and saved it to the Model Catalog. You now want to deploy this model as an HTTP endpoint. Which OCI Data Science resource must be configured to expose this model for real-time inference?

Accepted Answer

Model Deployment

Answer

Data Science Job

Answer

OCI Functions

Answer

API Gateway

Question 5

True or False: In OCI Data Science Pipelines, steps can share data between them by writing to a shared persistent volume that is automatically mounted to all steps in the pipeline.

Accepted Answer

False

Answer

True

Question 6

You are creating a Data Science Job to train a large deep learning model. The training process requires high-throughput communication between GPU nodes. Which OCI Compute Shape series should you select to ensure support for Cluster Networking and RDMA?

Accepted Answer

BM.GPU.B4.8 (or similar Bare Metal GPU shapes)

Answer

VM.GPU.A10.1

Answer

VM.Optimized.Flex

Answer

VM.Standard.E4.Flex

Free 1Z0-1110-25 sample questions

Which TWO of the following are valid data sources that can be directly ingested using the `ads.dataset.factory.DatasetFactory.open()` method in the OCI Data Science ADS SDK? (Select TWO)

You have trained a machine learning model and saved it to the Model Catalog. You now want to deploy this model as an HTTP endpoint. Which OCI Data Science resource must be configured to expose this model for real-time inference?

True or False: In OCI Data Science Pipelines, steps can share data between them by writing to a shared persistent volume that is automatically mounted to all steps in the pipeline.

You are creating a Data Science Job to train a large deep learning model. The training process requires high-throughput communication between GPU nodes. Which OCI Compute Shape series should you select to ensure support for Cluster Networking and RDMA?

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