2023 Realistic TroytecDumps 1z0-1110-22 Dumps PDF - 100% Passing Guarantee [Q26-Q43]

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2023 Realistic TroytecDumps 1z0-1110-22 Dumps PDF - 100% Passing Guarantee

Free Oracle 1z0-1110-22 Exam Questions and Answer


Oracle 1z0-1110-22 Exam Syllabus Topics:

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

 

NEW QUESTION 26
You have created a model, and you want to use the Accelerated Data Science (ADS) SDK to deploy this model. Where can you save the artifacts to deploy this model with ADS?

  • A. Data Science Artifactory
  • B. OCI Vault
  • C. Model Catalog
  • D. Model Depository

Answer: C

 

NEW QUESTION 27
You are a data scientist working for a utilities company. You have developed an algorith that detects anomalies from a utility reader in the grid. The size of the model artifact is about 2 GB, and you are trying to store it in the model catalog. Which THREE interfaces would you use to save the model artifact into the model catalog?

  • A. Console
  • B. Oracle Cloud Infrastructure (OCI) Command Line Interface (CLI)
  • C. OCI Python SDK
  • D. Git CLI
  • E. Accelerated Data Science (ADS) Software Development Kit (SDK)
  • F. ODSC CLI

Answer: A,C,E

 

NEW QUESTION 28
You trained a model to predict housing prices for your city. Which two metrics from the Ac-celerated Data Science (ADS) Evaluation class can be used to evaluate the regression model you just trained?

  • A. Weighted Recall
  • B. Explained Variance Score
  • C. Weighted Precision
  • D. Mean Absolute Error
  • E. F-1 Score

Answer: B,D

 

NEW QUESTION 29
You are a data scientist working for a manufacturing company, you have developed a fore-casting model to predict the sales demand in the upcoming months. You created a model artifact that contained custom logic requiring third party libraries. When you deployed the model, it failed to run because you did not include all the third-party dependencies in the model artifact.?

  • A. Runtime.yaml
  • B. Model_artifact_validate.py
  • C. Score.py
  • D. Requirement.txt

Answer: D

 

NEW QUESTION 30
You want to write a Python script to create a collection of different projects for your data sci-ence team. Which Oracle Cloud Infrastructure (OCI) Data Science Interface would you use?

  • A. Mobile App
  • B. Programming Language Software Development Kit (SDK)
  • C. Command Line Interface (CLI)
  • D. OCI Console

Answer: B

 

NEW QUESTION 31
You are building a model and need input that represents data as morning, afternoon, or evening. However, the data contains a time stamp. What part of the Data Science life cycle would you be in when creating the new variable?

  • A. Model type selection
  • B. Data access
  • C. Model validation
  • D. Feature engineering

Answer: C

 

NEW QUESTION 32
You have a complex Python code project that could benefit from using Data Science Jobs as it is a repeatable machine learning model training task. The project contains many subfolder and classes. What is the best way to run this project as a job?

  • A. Rewrite your code so that a single executable Python or Bash/Shell script file.
  • B. ZIP the entire code project folder and upload it as a Job artifact Jobs automatically identifies
  • C. ZIP the entire code project folder and upload it as a Job artifact on job creation, Jobs identities the main executable file automatically.
  • D. ZIP the entire code project folder, upload it as a Job artifact on job creation and set JOB_RUN_ENTRYPOINT to point to the main executable file.

Answer: D

Explanation:
That main top level where the code is run.

 

NEW QUESTION 33
When preparing your model artifact to save it to the Oracle Cloud Infrastructure (OCI) Data Science model catalog, you create a score.py file. What is the purpose of the score.py fie?

  • A. Define the inference server dependencies.
  • B. Configure the deployment infrastructure.
  • C. Execute the inference logic code
  • D. Define the compute scaling strategy.

Answer: B

 

NEW QUESTION 34
You have trained three different models on your data set using Oracle AutoML. You want to visualize the behavior of each of the models, including the baseline model, on the test set. Which class should be used from the Accelerated Data Science (ADS) SDK to visually compare the models?

  • A. ADS Explainer
  • B. ADSTuner
  • C. ADS Evaluator
  • D. EvaluationMetrics

Answer: D

 

NEW QUESTION 35
Select two reasons why it is important to rotate encryption keys when using Oracle Cloud In-frastructure (OCI) Vault to store credentials or other secrets.?

  • A. Key rotation allows you to encrypt no more than five keys at a time.
  • B. Periodically rotating keys make it easier to reuse key.
  • C. Key rotation improves encryption efficiency.
  • D. Key rotation reduces risk if a key is ever compromised.
  • E. Periodically rotating keys limits the amount of data encrypted by one key version.

Answer: B,D

 

NEW QUESTION 36
You have an embarrassingly parallel or distributed batch job on a large amount of data running using Data Science Jobs What would be the best approach to run the workload?

  • A. Reconfigure the job run because Data science jobs does not support embarrassingly parallel.
  • B. Create the job in Data Science Jobs and then start the number of simultaneous job runs required for your workload.
  • C. Create a new job for every job run that you have to run in parallel, because the Date Science Jobs service can have only one job run per job.
  • D. Create the job in Data Science Jobs and start a job run. When it is done, start a new job run until you achieve the number of runs required.

Answer: B

 

NEW QUESTION 37
Which Oracle Accelerated Data Science (ADS) classes can be used for easy access to data sets from reference libraries and index websites, such as scikit-learn?

  • A. DatasetFactory
  • B. ADSTurner
  • C. Dataset Browser
  • D. SecretKeeper

Answer: C

 

NEW QUESTION 38
You have just received a new data set from a colleague. You want to quickly find out summary information about the data set, such as the types of features, total number of observations, and data distributions, Which Accelerated Data Science (ADS) SDK method from the AD&Dataset class would you use?

  • A. Show_in_notebook{}
  • B. To_xgb{}
  • C. Show_corr{}
  • D. Compute{}

Answer: A

 

NEW QUESTION 39
You are using Oracle Cloud Infrastructure Anomaly Detection to train a model to detect anomalies in pump sensor dat a. How does the required False Alarm Probability settings affect an anomaly detection model?

  • A. It determines how many false alarms occur before an error message is generated.
  • B. It changes the sensitivity of the model to detect anomalies.
  • C. It Adds a score to each signal indicating the probability that it is false alarm.
  • D. It is used to disable the reporting of false alarm.

Answer: B

 

NEW QUESTION 40
You have created a conda environment in your notebook session. This is the first time you are working with published conda environments. You have also created an Object Storage bucket with permission to manage the bucket Which TWO commands are required to publish the conda environment?

  • A. odsc conda init -b <your-bucket-name> -a <api_key or resource_principal>
  • B. odsc conda create --file manifest.yaml
  • C. odsc conda list --override
  • D. odsc conda publish --slug <SLUG>

Answer: A,D

 

NEW QUESTION 41
What preparation steps are required to access an Oracle AI service SDK from a Data Science notebook session?

  • A. Create and upload the API signing key and config file
  • B. Create and upload execute.py and runtime.yaml
  • C. Call the Accented Data Science (ADS) command to enable Al integration
  • D. Import the REST API

Answer: A

 

NEW QUESTION 42
Which of the following TWO non-open source JupyterLab extensions has Oracle Cloud In-frastructure (OCI) Data Science developed and added to the notebook session experience?

  • A. Terminal
  • B. Environment Explorer
  • C. Notebook Examples
  • D. Table of Contents
  • E. Command Palette

Answer: B,C

 

NEW QUESTION 43
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