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Oracle
1Z0-1110-22: Oracle Cloud Infrastructure Data Science 2022 Professional

Oracle 1Z0-1110-22 Exam

Name: Oracle 1Z0-1110-22 Exam
Brand: Pass4Success
SKU: 1Z0-1110-22
Price: 69.00 USD
Availability: InStock
Rating: 5.0 (73 reviews)

Exam Name: Oracle Cloud Infrastructure Data Science 2022 Professional

Exam Code: 1Z0-1110-22

Related Certification(s):

Oracle Cloud Certifications
Oracle Cloud Infrastructure Certifications

Certification Provider: Oracle

Actual Exam Duration: 90 Minutes

Number of 1Z0-1110-22 practice questions in our database: 55 (updated: May. 10, 2024)

Expected 1Z0-1110-22 Exam Topics, as suggested by Oracle :

Topic 1: Create and manage Projects and Notebook sessions/ Discuss OCI Data Science Overview & Concepts
Topic 2: Configure and manage source code in Code Repositories (Git)/ Configure your tenancy for OCI Data Science
Topic 3: Create and train models using OCI and Open source Libraries/ Discuss Accelerated Data Science (ADS) SDK Capabilities
Topic 4: Implement end-to-end Machine Learning Lifecycle/ Design and Set up OCI Data Science Workspace
Topic 5: Create and Use automated ML capability from Oracle AutoML/ Configure your tenancy for Data Science
Topic 6: Create and Manage Spark Applications using Data Flow and OCI Data Science/ Create and manage Conda environments
Topic 7: Obtain Global & Local Model Explanations/ Access data from different sources
Topic 8: Create and Export a Dataset using OCI Data Labeling/ Discuss general MLOps Architecture in OCI
Topic 9: Explain core OCI Open Data Service concepts/ Create & Manage Jobs for custom tasks
Topic 10: Monitor & Log using MLOps Practices/ Use OCI AI Services for ML Solutions
Topic 11: Manage Models using Model Catalog/ Deploy & Invoke a Cataloged Model
Topic 12: Discuss ML Lifecycle Overview/ Store credentials via OCI Vault/ Scale with OCI Data Science

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Free Oracle 1Z0-1110-22 Exam Actual Questions

Note: Premium Questions for 1Z0-1110-22 were last updated On May. 10, 2024 (see below)

Question #1

You have a data set with fewer than 1000 observations, and you are using Oracle AutoML to build a classifier. While visualizing the results of each stage of the Oracle AutoML pipeline, you notice that no visualization has been generated for one of the stages. Which stage is not visualized?

AFeature selection

BAlgorithm selection

CAdaptive sampling

DHyperparameter tuning

Reveal Solution Hide Solution

Correct Answer: C

Question #2

You are a data scientist leveraging Oracle Cloud Infrastructure (OCI) Data Science to create a model and need some additional python libraries for processing genome sequencing dat

a. Which of the following THREE statements are correct with respect to installing additional Python libraries to process the data?

AYou cannot install a library that's not preinstalled in the provided image

BYou can only install libraries using yum and pip as a normal user

COCI Data Science allows privileges in notebook sessions.

DYou can install any open source package available in a publicly accessible Python Package Index (PyPI) repository

EYou can install private or custom libraries from your own internal repositories

Reveal Solution Hide Solution

Correct Answer: B, D, E

Question #3

As a data scientist, you are tasked with creating a model training job that is expected to take different hyperparameter values on every run. What is the most efficient way to set those pa-rameters with Oracle Data Science Jobs?

ACreate a new job every time you need to run your code and pass the parameters as en-vironment variables.

BCreate your code to expect different parameters as command line arguments, and create it new job every time you run the code.

CCreate your code to expect different parameters either as environment variables or as command line arguments, which are set on every job run with different values.

DCreate a new no by setting the required parameters in your code, and create a new job for mery code change.

Reveal Solution Hide Solution

Correct Answer: C

Question #4

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?

AAdding labels to image using semantic segmentation, by drawing multiple bounding boxes to an image.

BAdding a single label to an image.

CAdding labels to an image by drawing bounding box to an image, is not supported by Data Labeling

DAdding labels to an image using object detection, by drawing bounding boxes to an im-age.

EAdding multiple labels to an image.

Reveal Solution Hide Solution

Correct Answer: B, D, E

Question #5

ACreate a new job every time you need to run your code and pass the parameters as en-vironment variables.

BCreate your code to expect different parameters as command line arguments, and create it new job every time you run the code.

CCreate your code to expect different parameters either as environment variables or as command line arguments, which are set on every job run with different values.

DCreate a new no by setting the required parameters in your code, and create a new job for mery code change.

Reveal Solution Hide Solution

Correct Answer: C

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