Real 1z0-1110-22 Exam Questions are the Best Preparation Material
Practice on 2024 LATEST 1z0-1110-22 Exam Updated 58 Questions
Oracle 1z0-1110-22 Certification Exam covers a wide range of topics, including data preparation, feature engineering, model selection, and model evaluation. Candidates will be tested on their ability to work with structured and unstructured data, as well as their knowledge of statistical methods and machine learning algorithms. They will also be tested on their ability to use the Oracle Cloud Infrastructure Data Science platform to build and deploy machine learning models.
NEW QUESTION # 18
Which feature of the Oracle Cloud Infrastructure (OCI) Vision service helps you generate in-dexing tags for a collection of marketing photographs?
- A. Document classification
- B. Image classification
- C. Key Value extraction
- D. Text recognition
Answer: D
NEW QUESTION # 19
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. Deactivate your notebook session, provision a new notebook session on larger compute shape, and re-create all your file changes.
- B. 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 com-pute shape, and capy your flies and data from your temporary bucket onto your new notebook session.
- C. 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.
- 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 larger compute shape selected.
Answer: D
NEW QUESTION # 20
During a job run, you receive an error message that no space is left on your disk device. To solve the problem, you must increase the size of the job storage. What would be the most effi-cient way to do this with Data Science Jobs?
- A. Edit the job, change the size of the storage of your job, and start a new job run.
- B. Create a new job with increased storage size and then run the job.
- C. Your code using too much disk space. Refactor the code to identify the problem.
- D. On the job run, set the environment variable that helps increase the size of the storage.
Answer: A
NEW QUESTION # 21
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?
- A. Adaptive sampling
- B. Hyperparameter tuning
- C. Feature selection
- D. Algorithm selection
Answer: A
NEW QUESTION # 22
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?
- A. Package your personal OC file and keys in the job artifact.
- B. Store your personal OCI config file and kays in the Vault, and access the Vault through the job nun resource principal
- C. Create a pre-authenticated request (PAA) for the Object Storage bucket, and use that in the job code.
- D. 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.
Answer: D
NEW QUESTION # 23
Where do calls to stdout and stderr from score.py go in a model deployment?
- A. The predict log in the Oracle Cloud Infrastructure (OCI) Logging service as defined in the deployment.
- B. The OCI Cloud Shell, which can be accessed from the console.
- C. The OCI console.
- D. The file that was defined for them on the Virtual stachine (VM).
Answer: A
NEW QUESTION # 24
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 create --file manifest.yaml
- B. odsc conda publish --slug <SLUG>
- C. odsc conda list --override
- D. odsc conda init -b <your-bucket-name> -a <api_key or resource_principal>
Answer: B,D
NEW QUESTION # 25
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?
- A. Create a new job every time you need to run your code and pass the parameters as en-vironment variables.
- B. Create a new no by setting the required parameters in your code, and create a new job for mery code change.
- C. Create 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.
- D. Create your code to expect different parameters as command line arguments, and create it new job every time you run the code.
Answer: C
NEW QUESTION # 26
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. ADSTuner
- B. EvaluationMetrics
- C. ADS Explainer
- D. ADS Evaluator
Answer: B
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. Git CLI
- B. OCI Python SDK
- C. Console
- D. Oracle Cloud Infrastructure (OCI) Command Line Interface (CLI)
- E. ODSC CLI
- F. Accelerated Data Science (ADS) Software Development Kit (SDK)
Answer: B,C,F
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 Precision
- B. Mean Absolute Error
- C. Weighted Recall
- D. Explained Variance Score
- E. F-1 Score
Answer: B,D
NEW QUESTION # 29
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?
- A. Adding labels to an image by drawing bounding box to an image, is not supported by Data Labeling
- B. Adding labels to an image using object detection, by drawing bounding boxes to an im-age.
- C. Adding multiple labels to an image.
- D. Adding a single label to an image.
- E. Adding labels to image using semantic segmentation, by drawing multiple bounding boxes to an image.
Answer: B,C,D
NEW QUESTION # 30
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 improves encryption efficiency.
- B. Periodically rotating keys limits the amount of data encrypted by one key version.
- C. Key rotation allows you to encrypt no more than five keys at a time.
- D. Key rotation reduces risk if a key is ever compromised.
- E. Periodically rotating keys make it easier to reuse key.
Answer: D,E
NEW QUESTION # 31
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?
- A. Global behavior of a machine learning model may be complex, while the local behavior may be approximated with a simpler surrogate model.
- B. Model-agnostic techniques are more interpretable than techniques that are dependent on the types of models.
- C. Local explanation techniques are model agnostic, while global explanation techniques are not.
- D. Global and local behaviors of machine learning models are similar.
Answer: A
NEW QUESTION # 32
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 fewer instances.
- C. Delete the deployment.
- D. Update the deployment to use a larger virtual machine (mare CPUs/memory).
- E. Update the deployment to add more instances.
Answer: E
NEW QUESTION # 33
The Accelerated Data Science (ADS) model evaluation classes support different types of ma-chine learning modeling techniques Which THREE types of modeling techniques are supported by ADS Evaluators?
- A. Principal Component Analysis
- B. K-Means Clustering
- C. Multiclass Classification
- D. Regression Analysis
- E. Recurrent Neural Network
- F. Binary Classification
Answer: C,D,F
NEW QUESTION # 34
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. Throw an error because the system cannot determine which handler to run.
- B. Execute the is_tech_job_open_handler handler.
- C. Execute the is_tech_job_closed_handler handler.
- D. Execute the is_tech_job_default_handler sales handler.
Answer: A
NEW QUESTION # 35
What preparation steps are required to access an Oracle AI service SDK from a Data Science notebook session?
- A. Import the REST API
- B. Call the Accented Data Science (ADS) command to enable Al integration
- C. Create and upload execute.py and runtime.yaml
- D. Create and upload the API signing key and config file
Answer: D
NEW QUESTION # 36
You want to ensure that all stdout and stderr from your code are automatically collected and logged, without implementing additional logging in your code. How would you achieve this with Data Science Jobs?
- A. Data Science Jots does not support automatic fog collection and storing.
- B. On job creation, enable logging and select a log group. Then, select either log or the op-tion to enable automatic log creation.
- C. Make sure that your code is using the standard logging library and then store all the logs to Check Storage at the end of the job.
- D. You can implement custom logging in your code by using the Data Science Jobs logging.
Answer: D
NEW QUESTION # 37
As a data scientist, you are working on a global health data set that has data from more than 50 countries. You want to encode three features, such as 'countries', 'race', and 'body organ' as categories. Which option would you use to encode the categorical feature?
- A. auto_transform()
- B. DataFramLabelEncode()
- C. OneHotEncoder()
- D. show_in_notebook()
Answer: B
NEW QUESTION # 38
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 dynamic group's matching rule exists for notebook sessions in this compartment.
- B. The policy for your user group grants manage permissions for the model catalog in this compartment.
- C. The model artifact is saved to the block volume of the notebook session.
- D. The policy for the dynamic group grants manages permissions for the model catalog in this compartment.
- E. The networking configuration allows access to the Oracle Cloud Infrastructure (OCI) services through a Service Gateway.
Answer: B,D
NEW QUESTION # 39
While reviewing your data, you discover that your data set has a class imbalance. You are aware that the Accelerated Data Science (ADS) SDK provides multiple built-in automatic transformation tools for data set transformation. Which would be the right tool to correct any imbalance between the classes?
- A. auto_transform()
- B. sample()
- C. visualize_transforms()
- D. suggeste_recoomendations()
Answer: A
NEW QUESTION # 40
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Oracle 1z0-1110-22, also known as the Oracle Cloud Infrastructure Data Science 2022 Professional Certification Exam, is a professional-level certification offered by Oracle to data scientists and professionals who work with data within the Oracle Cloud Infrastructure. 1z0-1110-22 exam is intended to test the candidate's knowledge and skills in various areas of data science, including machine learning, data analytics, data visualization, and data exploration.
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