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Oracle 1z0-1110-23 Exam Syllabus Topics:
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NEW QUESTION # 44
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. To_xgb{}
- B. Show_corr{}
- C. Show_in_notebook{}
- D. Compute{}
Answer: C
NEW QUESTION # 45
You have created a Data Science project in a compartment called Development and shared it with a group of collaborators. You now need to move the project to a different compartment called Production after completing the current development iteration.
Which statement is correct?
- A. Moving a project to a different compartment requires deleting all its associated notebook sessions and models first.
- B. You can move a project to a different compartment without affecting its associated notebook sessions and models
- C. You cannot move a project to a different compartment after it has been created.
- D. Moving a project to a different compartment also moves its associated notebook sessions and models to the new compartment.
Answer: D
NEW QUESTION # 46
As you are working in your notebook session, you find that your notebook session does not have enough compute CPU and memory for your workload.
How would you scale up your notebook session without losing your work?
- A. Create a temporary bucket on Object Storage, write all your files and data to Object Storage, delete your notebook session, provision a new notebook session on a larger compute shape, Want any exam dump in pdf email me at [email protected] (Little Paid) and copy your files and data from your temporary bucket onto your new notebook session.
- B. Download all your files and data to your local machine, delete your notebook session, provision a new notebook session on a larger compute shape, and upload your files from your local machine to the new notebook session.
- C. Deactivate your notebook session, provision a new notebook session on a larger compute shape and re-create all of your file changes.
- D. Ensure your files and environments are written to the block volume storage under the
/home/datascience directory, deactivate the notebook session, and activate the notebook session with a larger compute shape selected.
Answer: D
NEW QUESTION # 47
data scientist, you use the Oracle Cloud Infrastructure (OCI) Language service to train custom models. Which types of custom models can be trained?
- A. Text classification, Named Entity Recognition (NER)
- B. Object detection, Text classification
- C. Image classification, Named Entity Recognition (NER)
- D. Sentiment Analysis, Named Entity Recognition (NER)
Answer: A
NEW QUESTION # 48
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, upload it as a Job artifact on job creation, and set JOB_RUN_ENTRYPOINT to point to the main executable file.
- C. Rewrite your code so that it is a single executable Python or Bash/Shell script file.
- D. ZIP the entire code project folder and upload it as a Job artifact on job creation. Jobs identifies the main executable file automatically.
Answer: B
NEW QUESTION # 49
You want to write a Python script to create a collection of different projects for your data science team. Which Oracle Cloud Infrastructure (OCI) Data Science interface would you use?
- A. OCI Console
- B. Mobile App
- C. The OCI Software Development Kit (SDK)
- D. Command line interface (CLI)
Answer: C
NEW QUESTION # 50
As you are working in your notebook session, you find that your notebook session does not have enough compute CPU and memory for your workload. How would you scale up your notebook session without losing your work?
- A. Create a temporary bucket in Object Storage, write all your files and data to Object Storage, delete tur ctebook session, provision a new notebook session on a larger compute shape, and capy your flies and data from your temporary bucket onto your new notebook session.
- B. Ensure your files and environments are written to the block volume storage under the /home/datascience directory, deactivate the notebook session, and activate the notebook larger compute shape selected.
- C. Deactivate your notebook session, provision a new notebook session on larger compute shape, and re-create all your file changes.
- D. Down your files and data to your local machine, delete your notebook session, provision tebook session on a larger compute shape, and upload your files from your local the new notebook session.
Answer: B
NEW QUESTION # 51
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. Configure the deployment infrastructure.
- B. Execute the inference logic code
- C. Define the compute scaling strategy.
- D. Define the inference server dependencies.
Answer: A
NEW QUESTION # 52
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. Advanced Encryption Standard Keys
- B. Triple Data Encryption Standard Algorithm
- C. Elliptical Curve Cryptography Digital Signature Algorithm
- D. Rivert-Shamir-Adleman Keys
Answer: A
NEW QUESTION # 53
You are a data scientist leveraging the Oracle Cloud Infrastructure (OCI) Language AI service for various types of text analyses. Which TWO capabilities can you utilize with this tool?
- A. Sentence diagramming
- B. Topic classification
- C. Table extraction
- D. Punctuation correction
- E. Sentiment analysis
Answer: B,E
NEW QUESTION # 54
Which Oracle Cloud Infrastructure (OCI) service should you use to create and run Spark applications using ADS?
- A. Analytics Cloud
- B. Vault
- C. Data Flow
- D. Data Integration
Answer: C
NEW QUESTION # 55
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 your user group grants manages permissions for the model catalog in this compartment.
- B. The model artifact is saved to the block volume of the notebook session.
- C. The policy for a dynamic group grant manages permissions for the model catalog in it compartment.
- D. The networking configuration allows access to Oracle Cloud Infrastructure services through a Service Gateway.
- E. A dynamic group has rules that matching the notebook sessions in it compartment.
Answer: A,E
NEW QUESTION # 56
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. Cramersv_plot{}
- B. Corr{}
- C. Pearson_plot{}
- D. Correlation_ratio_plot{}
Answer: D
NEW QUESTION # 57
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. All pipeline steps are always run in parallel.
- B. Parallel steps cannot be run if they are completely independent of each other.
- C. Pipeline steps can be run in sequence or in parallel, as long as they create a directed acyclic graph (DAG).
- D. Steps in a pipeline can be run only sequentially.
Answer: C
NEW QUESTION # 58
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_algorith_selection_trails()
- B. Oracle.automl.visualize_adaptive_sampling_trails()
- C. Oracle.automl.visualize_tuning_trails()
- D. Oracle.automl.print_trials()
Answer: D
NEW QUESTION # 59
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. Import the REST API
- C. Call the Accented Data Science (ADS) command to enable Al integration
- D. Create and upload execute.py and runtime.yaml
Answer: A
NEW QUESTION # 60
You are preparing a configuration object necessary to create a Data Flow application. Which THREE parameter values should you provide?
- A. The compartment of the Data Flow application.
- B. The path to the arhive.zip file.
- C. The display name of the application.
- D. The bucket used to read/write the pySpark script in Object Storage.
- E. The local path to your pySpark script.
Answer: C,D,E
NEW QUESTION # 61
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. EvaluationMetrics
- B. ADSEvaluator
- C. ADSExplainer
- D. ADSTuner
Answer: B
NEW QUESTION # 62
Using Oracle AutoML, you are tuning hyperparameters on a supported model class and have specified a time budget. AutoML terminates computation once the time budget is exhausted. What would you expect AutoML to return in case the time budget is exhausted before hyperparameter tuning is completed?
- A. The current best-known hyperparameter configuration is returned.
- B. The last generated hyperparameter configuration is returned
- C. A hyperparameter configuration with a minimum learning rate is returned.
- D. A random hyperparameter configuration is returned.
Answer: A
NEW QUESTION # 63
You want to write a Python script to create a collection of different projects for your data science team. Which Oracle Cloud Infrastructure (OCI) Data Science Interface would you use?
- A. OCI Console
- B. Mobile App
- C. Command Line Interface (CLI)
- D. Programming Language Software Development Kit (SDK)
Answer: D
NEW QUESTION # 64
You have an embarrassingly parallel or distributed batch job on a large amount of data that you consider running using Data Science Jobs. What would be the best approach to run the workload?
- A. Create the job in Data Science Jobs and then start the number of simultaneous jobs runs required for your workload.
- B. 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.
- C. Reconfigure the job run because Data Science Jobs does not support embarrassingly parallel workloads.
- D. Create a new job for every job run that you have to run in parallel, because the Data Science Jobs service can have only one job run per job.
Answer: A
NEW QUESTION # 65
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?
- A. Primary Virtual Network Interface Card (VNIC).
- B. NAT Gateway with public internet access.
- C. Service Gateway with private subnet access
- D. FastConnect to an on-premises network.
Answer: B
NEW QUESTION # 66
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