Free Apr-2024 UPDATED Oracle 1z0-1110-23 Exam Questions & Answer
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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. EvaluationMetrics
- B. ADSTuner
- C. ADSExplainer
- D. ADSEvaluator
Answer: D
NEW QUESTION # 35
You are a computer vision engineer building an image recognition model. You decide to use Oracle Data Labeling to annotate your image data. Which of the following THREE are possible ways to annotate an image in Data Labeling?
- A. Adding labels to image using semantic segmentation, by drawing multiple bounding boxes to an image.
- B. Adding multiple labels to an image.
- C. Adding labels to an image using object detection, by drawing bounding boxes to an im-age.
- D. Adding a single label to an image.
- E. Adding labels to an image by drawing bounding box to an image, is not supported by Data Labeling
Answer: B,C,D
NEW QUESTION # 36
Which TWO statements are true about published conda environments?
- A. Your notebook session acts as the source to share published conda environment with team members.
- B. You can only create published conda environment by modifying a Data Science conde
- C. They can be used in Data Science Jobs and model deployments.
- D. They are curated by Oracle Cloud Infrastructure (OCI) Data Science.
- E. The odsc conda init command is used to configure the location of published conda en-vironments.
Answer: A,E
NEW QUESTION # 37
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. Command line interface (CLI)
- B. The OCI Software Development Kit (SDK)
- C. OCI Console
- D. Mobile App
Answer: B
NEW QUESTION # 38
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. Your code using too much disk space. Refactor the code to identify the problem.
- B. Create a new job with increased storage size and then run the job.
- C. On the job run, set the environment variable that helps increase the size of the storage.
- D. Edit the job, change the size of the storage of your job, and start a new job run.
Answer: D
NEW QUESTION # 39
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 data. Which of the following THREE statements are correct with respect to installing additional Python libraries to process the data?
- A. You cannot install a library that's not preinstalled in the provided image
- B. You can install any open source package available on a publicly accessible Python Package Index (PyPI) repository.
- C. You can only install libraries using yum and pip as a normal user.
- D. You can install private or custom libraries from your own internal repositories.
- E. OCI Data Science allows root privileges in notebook sessions.
Answer: B,C,E
NEW QUESTION # 40
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. Programming Language Software Development Kit (SDK)
- B. OCI Console
- C. Command Line Interface (CLI)
- D. Mobile App
Answer: A
NEW QUESTION # 41
. 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. Delete the deployment.
- C. Update the deployment to add more instances.
- D. Update the deployment to use a larger virtual machine (more CPUs/memory).
- E. Update the deployment to use fewer instances.
Answer: A,C,D
NEW QUESTION # 42
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.visualize_algorith_selection_trails()
- C. Oracle.automl.print_trials()
- D. Oracle.automl.visualize_adaptive_sampling_trails()
Answer: C
NEW QUESTION # 43
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. Moving a project to a different compartment also moves its associated notebook sessions and models to the new compartment.
- C. You cannot move a project to a different compartment after it has been created.
- D. You can move a project to a different compartment without affecting its associated notebook sessions and models
Answer: B
NEW QUESTION # 44
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. Retrain the model
- B. Operational monitoring
- C. Validate the model using recent data
- D. Drift monitoring
- E. Redeploy the model
Answer: C,D
NEW QUESTION # 45
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. Make sure that your code is using the standard logging library and then store all the logs to Object Storage at the end of the job.
- B. Create your own log group and use a third-party logging service to capture job run details for log collection and storing.
- C. You can implement custom logging in your code by using the Data Science Jobs logging service.
- D. On job creation, enable logging and select a log group. Then, select either a log or the option to enable automatic log creation.
Answer: D
NEW QUESTION # 46
For your next data science project, you need access to public geospatial images.
Which Oracle Cloud service provides free access to those images?
- A. Oracle Open Data
- B. Oracle Big Data Service
- C. Oracle Analytics Cloud
- D. Oracle Cloud Infrastructure Data Science
Answer: A
NEW QUESTION # 47
You are preparing a configuration object necessary to create a Data Flow application. Which THREE parameter values should you provide?
- A. The bucket used to read/write the pySpark script in Object Storage.
- B. The local path to your pySpark script.
- C. The display name of the application.
- D. The compartment of the Data Flow application.
- E. The path to the arhive.zip file.
Answer: A,B,C
NEW QUESTION # 48
You are asked to prepare data for a custom-built model that requires transcribing Spanish video recordings into a readable text format with profane words identified. Which Oracle Cloud service would you use?
- A. OCI Translation
- B. OCI Anomaly Detection
- C. OCI Speech
- D. OCI Language
Answer: C
NEW QUESTION # 49
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. K-means Clustering
- B. Principal Component Analysis
- C. Binary Classification
- D. Recurrent Neural Network
- E. Regression Analysis
- F. Multiclass Classification
Answer: C,E,F
NEW QUESTION # 50
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