Verified & Latest 1Z0-1110-26 Dump Q&As with Correct Answers [Q53-Q71]

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Verified & Latest 1Z0-1110-26 Dump Q&As with Correct Answers

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Oracle 1Z0-1110-26 Exam Syllabus Topics:

Section	Weight	Objectives
Model Development and Deployment	30%	– Model training 1. Experiments 2. Hyperparameter optimization – Model deployment 1. Prediction endpoints 2. Deployment creation
OCI Data Science Service	30%	– Model catalog 1. Model versioning 2. Model metadata – Projects and notebooks 1. Conda environments 2. Notebook sessions
Machine Learning Fundamentals	20%	– Unsupervised learning 1. Clustering 2. Dimensionality reduction – Supervised learning 1. Classification 2. Regression
MLOps and OCI Integration	20%	– OCI ecosystem 1. IAM and security 2. Object Storage – Automation and pipelines 1. Model lifecycle management 2. CI/CD integration

NO.53 Which Oracle Accelerated Data Science (ADS) classes can be used for easy access to datasets from reference libraries and index websites such as scikit-learn?

DataLabeling

DatasetBrowser

SecretKeeper

DatasetFactory

NO.54 You are a data scientist building a pipeline in the Oracle Cloud Infrastructure (OCI) Data Science service for your machine learning project. You want to optimize the pipeline completion time by running some steps in parallel. Which statement is true about running pipeline steps in parallel?

Steps in a pipeline can be run only sequentially

Pipeline steps can be run in sequence or in parallel, as long as they create a directed acyclic graph (DAG)

All pipeline steps are always run in parallel

Parallel steps cannot be run if they are completely independent of each other

NO.55 Which encryption is used for Oracle Data Science?

256-bit Advanced Encryption Standard (AES-256)

Data Encryption Standard (DES)

Triple DES (TDES)

Twofish

Rivest Shamir Adleman (RSA)

NO.56 You loaded data into Oracle Cloud Infrastructure (OCI) Data Science. To transform the data, you want to use the Accelerated Data Science (ADS) SDK. When you applied the get_recommendations() tool to the ADSDataset object, it showed you user-detected issues with all the recommended changes to apply to the dataset. Which option should you use to apply all the recommended transformations at once?

get_transformed_dataset()

fit_transform()

auto_transform()

visualize_transforms()

NO.57 Which type of file system does File Storage use?

NFSv3

iSCSI

Paravirtualized

NVMe SSD

NO.58 You are a data scientist working inside a notebook session and you attempt to pip install a package from a public repository that is not included in your conda environment. After running this command, you get a network timeout error. What might be missing from your networking configuration?

FastConnect to an on-premises network

Primary Virtual Network Interface Card (VNIC)

NAT Gateway with public internet access

Service Gateway with private subnet access

NO.59 Which of the following best describes the principal goal of data science?

To collect and archive exhaustive datasets from various source systems for corporate record-keeping uses.

To mine and analyze large amounts of data in order to uncover information that can be used for operational improvements and business gains.

To collect and prepare data for use as part of analytics applications.

Data science is focused on output of the analysis.

NO.60 You have received machine learning model training code, without clear information about the optimal shape to run the training on. How would you proceed to identify the optimal compute shape for your model training that provides a balanced cost and processing time?

Start with a smaller shape and monitor the job run metrics and time required to complete the model training. If the compute shape is not fully utilized, tune the model parameters, and rerun the job. Repeat the process until the shape resources are fully utilized.

Start with the strongest compute shape Jobs support and monitor the job run metrics and time required to complete the model training. Tune the model so that it utilizes as much compute resources as possible, even at an increased cost.

Start with a small shape and monitor the utilization metrics and time required to complete the model training. If the compute shape is fully utilized, change to compute that has more resources and rerun the job. Repeat the process until the processing time does not improve.

Start with a random compute shape and monitor the utilization metrics and time required to finish the model training. Perform model training optimization and performance tests in advance to identify the right compute shape before running the model training as a job.

NO.61 Which Security Zone policy is NOT valid?

A boot volume can be moved from a security zone to a standard compartment

A compute instance cannot be moved from a security zone to a standard compartment

Resources in a security zone should not be accessible from the public internet

Resources in a security zone must be automatically backed up regularly

NO.62 What is the first step in the data science process?

Collecting data and preparing it for analysis

Experimenting with and tuning different analytical models

Defining an analytical hypothesis that could provide business value

Working with data owners

NO.63 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 assess the quality of the model class that you are using. What is the most appropriate search space strategy to choose?

Detailed

ADSTuner doesn’t need a search space to tune the hyperparameters

Perfunctory

Pass a dictionary that defines a search space

NO.64 You realize that your model deployment is about to reach its utilization limit. What would you do to avoid the issue before requests start to fail? Pick THREE.

Update the deployment to add more instances

Delete the deployment

Update the deployment to use fewer instances

Update the deployment to use a larger virtual machine (more CPUs/memory)

Reduce the load balancer bandwidth limit so that fewer requests come in

NO.65 You have built a machine model to predict whether a bank customer is going to default on a loan. You want to use Local Interpretable Model-Agnostic Explanations (LIME) to understand a specific prediction. What is the key idea behind LIME?

Global behaviour of a machine learning model may be complex, while the local behaviour may be approximated with a simpler surrogate model

Model-agnostic techniques are more interpretable than techniques that are dependent on the types of models

Global and local behaviours of machine learning models are similar

Local explanation techniques are model-agnostic, while global explanation techniques are not

NO.66 Which of the following programming languages are most widely used by data scientists?

C and C++

Python, R, and SQL

Java and JavaScript

NO.67 You are creating an Oracle Cloud Infrastructure (OCI) Data Science job that will run on a recurring basis in a production environment. This job will pick up sensitive data from an Object Storage Bucket, train a model, and save it to the model catalog. How would you design the authentication mechanism for the job?

Create a pre-authenticated request (PAR) for the Object Storage bucket and use that in the job code

Use the resource principal of the job run as the signer in the job code, ensuring there is a dynamic group for this job run with appropriate access to Object Storage and the model catalog

Package your personal OCI config file and keys in the job artifact

Store your personal OCI config file and keys in the Vault, and access the Vault through the job run resource principal

NO.68 What is the primary difference between a data scientist and a data engineer?

A data engineer collects and prepares data, and a data scientist then analyzes it.

A data engineer analyzes data after a data scientist collects and prepares it.

A data engineer builds data pipelines and helps prepare data, while a data scientist is responsible for data collection, preparation, and analysis.

A data engineer creates data flows to be used as templates by the data analyst.

NO.69 Which of these protects customer data at rest and in transit in a way that allows customers to meet their security and compliance requirements for cryptographic algorithms and key management?

Security controls

Customer isolation

Data encryption

Identity Federation

NO.70 What is a conda environment?

A system that manages package dependencies

A collection of kernels

An open-source environment management system

An environment deployment system on Oracle AI

NO.71 Which statement about Oracle Cloud Infrastructure Multi-Factor Authentication (MFA) is NOT valid?

Users cannot disable MFA for themselves

A user can register only one device to use for MFA