最新の[2024年04月30日] 実際に出る検証済みの1z0-1110-23問題集 [Q25-Q48]

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最新の[2024年04月30日] 実際に出る検証済みの1z0-1110-23問題集

合格させるOracle 1z0-1110-23試験更新されたのは80問があります


Oracle 1z0-1110-23 認定試験の出題範囲:

トピック出題範囲
トピック 1
  • Monitor & Log using MLOps Practices
  • Access data from different sources
トピック 2
  • Implement end-to-end Machine Learning Lifecycle
  • OCI Data Science - Introduction & Configuration
トピック 3
  • Obtain Global & Local Model Explanations
  • Create and Export a Dataset using OCI Data Labeling
トピック 4
  • Create and Manage Spark Applications using Data Flow and OCI Data Science
  • Design and Set up OCI Data Science Workspace
トピック 5
  • Create & Manage Jobs for custom tasks
  • Discuss OCI Data Science Overview & Concepts
トピック 6
  • Configure and manage source code in Code Repositories (Git)
  • Understand the capabilities of Accelerated Data Science(ADS) SDK
トピック 7
  • Create and train models using OCI and Open source Libraries
  • Create and manage Projects and Notebook sessions

 

質問 # 25
As a data scientist, you are trying to automate a machine learning (ML) workflow and have decided to use Oracle Cloud Infrastructure (OCI) AutoML Pipeline.
Which three are part of the AutoML Pipeline?

  • A. Algorithm Selection
  • B. Feature Selection
  • C. Adaptive Sampling
  • D. Model Deployment
  • E. Feature Extraction

正解:B、C、D


質問 # 26
As a data scientist, you create models for cancer prediction based on mammographic images.
The correct identification is very crucial in this case. After evaluating two models, you arrive at the following confusion matrix.
Model 1 has Test accuracy is 80% and recall is 70%.
* Model 2 has Test accuracy is 75% and recall is 85%.
Which model would you prefer and why?

  • A. Model 2, because recall is high.
  • B. Model 1, because recall has lesser impact on predictions in this use case
  • C. Model 1, because the test accuracy is high.
  • D. Model 2, because recall has more impact on predictions in this use se.

正解:D


質問 # 27
You want to make your model more parsimonious to reduce the cost of collecting and processing data. You plan to do this by removing features that are highly correlated. You would like to create a heat map that displays the correlation so that you can identify candidate features to remove. Which Accelerated Data Science (ADS) SDK method would be appropriate to display the correlation between Continuous and Categorical features?

  • A. Correlation_ratio_plot{}
  • B. Corr{}
  • C. Cramersv_plot{}
  • D. Pearson_plot{}

正解:A


質問 # 28
You are a data scientist designing an air traffic control model, and you choose to leverage Oracle AutoML You understand that the Oracle AutoML pipeline consists of multiple stages and automatically operates in a certain sequence. What is the correct sequence for the Oracle AutoML pipeline?

  • A. Adaptive sampling, Feature selection, Algorithm selection, Hyperparameter tuning
  • B. Algorithm selection, Feature selection, Adaptive sampling, Hyperparameter tuning Want any exam dump in pdf email me at [email protected] (Little Paid)
  • C. Algorithm selection, Adaptive sampling, Feature selection, Hyperparameter tuning
  • D. Adaptive sampling, Algorithm selection, Feature selection, Hyperparameter tuning

正解:D


質問 # 29
The Accelerated Data Science (ADS) model evaluation classes support different types of machine learning modeling techniques. Which three types of modeling techniques are supported by ADS Evaluators?

  • A. Multiclass Classification
  • B. Principal Component Analysis
  • C. Regression Analysis
  • D. K-means Clustering
  • E. Recurrent Neural Network
  • F. Binary Classification

正解:A、C、F


質問 # 30
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_tuning_trails()
  • B. Oracle.automl.print_trials()
  • C. Oracle.automl.visualize_algorith_selection_trails()
  • D. Oracle.automl.visualize_adaptive_sampling_trails()

正解:B


質問 # 31
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. DatasetBrowser
  • B. ADSTuner
  • C. DataLabeling
  • D. SecretKeeper

正解:A


質問 # 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 subfolders and classes.
What is the best way to run this project as a Job?

  • A. ZIP the entire code project folder and upload it as a Job artifact. Jobs automatically identifies the_main_ top level where the code is run.
  • B. ZIP the entire code project folder and upload it as a Job artifact on job creation. Jobs identifies the main executable file automatically.
  • C. 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.
  • D. Rewrite your code so that it is a single executable Python or Bash/Shell script file.

正解:C


質問 # 33
You are attempting to save a model from a notebook session to the model catalog by using the Accelerated Data Science (ADS) SDK, with resource principal as the authentication signer, and you get a 404 authentication error. Which two should you look for to ensure permissions are set up correctly?

  • A. The policy for a dynamic group grant manages permissions for the model catalog in it compartment.
  • B. The networking configuration allows access to Oracle Cloud Infrastructure services through a Service Gateway.
  • C. The model artifact is saved to the block volume of the notebook session.
  • D. The policy for your user group grants manages permissions for the model catalog in this compartment.
  • E. A dynamic group has rules that matching the notebook sessions in it compartment.

正解:D、E


質問 # 34
As a data scientist, you have stored sensitive data in a database. You need to protect this data by using a master encryption algorithm, which uses symmetric keys. Which master encryption algorithm would you choose in the Oracle Cloud Infrastructure (OCI) Vault service?

  • A. Rivert-Shamir-Adleman Keys
  • B. Elliptical Curve Cryptography Digital Signature Algorithm
  • C. Triple Data Encryption Standard Algorithm
  • D. Advanced Encryption Standard Keys

正解:D


質問 # 35
After you have created and opened a notebook session, you want to use the Accelerated Data Science (ADS) SDK to access your data and get started with an exploratory data analysis.
From which two places can you access or install the ADS SDK?

  • A. Oracle Machine Learning (OML)
  • B. Oracle Autonomous Data Warehouse
  • C. Conda environments in Oracle Cloud Infrastructure (OCI) Data Science
  • D. Oracle Big Data Service
  • E. Python Package Index (PyPI

正解:C、E


質問 # 36
. 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?

  • A. Reduce the load balancer bandwidth limit so that fewer requests come in.
  • B. Update the deployment to use a larger virtual machine (more CPUs/memory).
  • C. Update the deployment to add more instances.
  • D. Update the deployment to use fewer instances.
  • E. Delete the deployment.

正解:A、B、C


質問 # 37
You are a data scientist trying to load data into your notebook session. You understand that Accelerated Data Science (ADS) SDK supports loading various data formats. Which of the following THREE are ADS supported data formats?

  • A. Pandas DataFram
  • B. DOCX
  • C. XML
  • D. JSON
  • E. Raw Images

正解:A、C、D


質問 # 38
3. 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 file?

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

正解:C


質問 # 39
The feature type TechJob has the following registered validators:
Tech-Job.validator.register(name='is_tech_job', handler=is_tech_job_default_handler) Tech-Job.validator.register(name='is_tech_job', handler= is_tech_job_open_handler, condi-tion=('job_family',)) TechJob.validator.register(name='is_tech_job', handler= is_tech_job_closed_handler, condition=('job_family': 'IT')) When you run is_tech_job(job_family='Engineering'), what does the feature type validator system do?

  • A. Execute the is_tech_job_open_handler handler.
  • B. Throw an error because the system cannot determine which handler to run.
  • C. Execute the is_tech_job_closed_handler handler.
  • D. Execute the is_tech_job_default_handler sales handler.

正解:B


質問 # 40
You have trained a machine learning model on Oracle Cloud Infrastructure (OCI) Data Science, and you want to save the code and associated pickle file in a Git repository. To do this, you have to create a new SSH key pair to use for authentication. Which SSH command would you use to create the public/private algorithm key pair in the notebook session?

  • A. ssh-Keygen
  • B. ssh-agent
  • C. ssh-copy-id
  • D. ssh-add

正解:A


質問 # 41
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?

  • A. Steps in a pipeline can be run only sequentially.
  • B. Pipeline steps can be run in sequence or in parallel, as long as they create a directed acyclic graph (DAG).
  • C. All pipeline steps are always run in parallel.
  • D. Parallel steps cannot be run if they are completely independent of each other.

正解:B


質問 # 42
Which TWO statements are true about published conda environments?

  • A. They can be used in Data Science Jobs and model deployments.
  • B. They are curated by Oracle Cloud Infrastructure (OCI) Data Science.
  • C. The odsc conda init command is used to configure the location of published conda en-vironments.
  • D. Your notebook session acts as the source to share published conda environment with team members.
  • E. You can only create published conda environment by modifying a Data Science conde

正解:C、D


質問 # 43
Six months ago, you created and deployed a model that predicts customer churn for a call centre. Initially, it was yielding quality predictions. However, over the last two months, users are questioning the credibility of the predictions.
Which two methods would you employ to verify the accuracy of the model?

  • A. Operational monitoring
  • B. Redeploy the model
  • C. Drift monitoring
  • D. Retrain the model
  • E. Validate the model using recent data

正解:C、E


質問 # 44
Select two reasons why it is important to rotate encryption keys when using Oracle Cloud Infrastructure (OCI) Vault to store credentials or other secrets.

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

正解:B、E


質問 # 45
You train a model to predict housing prices for your city. Which two metrics from the Accelerated Data Science (ADS) ADSEvaluator class can you use to evaluate the regression model?

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

正解:A、E


質問 # 46
Which two statements are true about published conda environments?

  • A. They are curated by Oracle Cloud Infrastructure (OCI) Data Science.
  • B. The odac conda init command is used to configure the location of published conda environments.
  • C. You can only create a published conda environment by modifying a Data Science conda environment.
  • D. Your notebook session acts as the source to share published conda environments with team members.
  • E. In addition to service job run environment variables, conda environment variables can be used in Data Science Jobs.

正解:D、E


質問 # 47
You want to make your model more frugal to reduce the cost of collecting and processing data.
You plan to do this by removing features that are highly correlated. You would like to create a heat map that displays the correlation so that you can identify candidate features to remove.
Which Accelerated Data Science (ADS) SDK method is appropriate to display the comparability between Continuous and Categorical features?

  • A. correlation_ratio_plot()
  • B. pearson_plot()
  • C. corr()
  • D. cramersv_plot()

正解:A


質問 # 48
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今すぐ試そう2024年最新の無料更新されたOracle 1z0-1110-23試験問題と解答:https://www.goshiken.com/Oracle/1z0-1110-23-mondaishu.html

1z0-1110-23問題集PDFとテストエンジン試験問題:https://drive.google.com/open?id=108dXsk9zrpFn4yQEPeZi36jlJmP56aYC