1z0-1110-23 Exam Questions Dumps, Selling Oracle Products
1z0-1110-23 Cert Guide PDF 100% Cover Real Exam Questions
Oracle 1z0-1110-23 Exam Syllabus Topics:
| Topic | Details |
|---|---|
| Topic 1 |
|
| Topic 2 |
|
| Topic 3 |
|
| Topic 4 |
|
| Topic 5 |
|
NEW QUESTION # 39
You have just completed analyzing a set of images by using Oracle Cloud Infrastructure (OCI) Data Labelling, and you want to export the annotated data. Which two formats are supported?
- A. CONLL V2003
- B. Spacy
- C. COCO
- D. Data Labelling Service Proprietary JSON
Answer: B,C
NEW QUESTION # 40
. 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. Update the deployment to add more instances.
- B. Update the deployment to use a larger virtual machine (more CPUs/memory).
- C. Reduce the load balancer bandwidth limit so that fewer requests come in.
- D. Delete the deployment.
- E. Update the deployment to use fewer instances.
Answer: A,B,C
NEW QUESTION # 41
You have received machine learning model training code, without clear information about the optimal shape to run the training. How would you proceed to identify the optimal compute shape for your model training that provides a balanced cost and processing time?
- A. Start with the strongest compute shape Job's support and monitor the Job Run metrics and time required to complete the model training. Tune the model so that it utilizes as much compute resources as possible, even at an increased cost.
- B. Start with a smaller shape and monitor the Job Run metrics and time required to complete the model training. If the compute shape is not fully utilized, tune the model parameters, and re- run the job. Repeat the process until the shape resources are fully utilized.
- C. Start with a random compute shape and monitor the utilization metrics and time required to finish the model training. Perform model training optimizations and performance tests in advance to identify the right compute shape before running the model training as a job.
- D. Start with a smaller shape and monitor the utilization metrics and time required to complete the model training. If the compute shape is fully utilized, change to compute that has more resources and re-run the job. Repeat the process until the processing time does not improve.
Answer: D
NEW QUESTION # 42
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. Algorithm selection, Adaptive sampling, Feature selection, Hyperparameter tuning
- B. Adaptive sampling, Algorithm selection, Feature selection, Hyperparameter tuning
- C. Adaptive sampling, Feature selection, Algorithm selection, Hyperparameter tuning
- D. Algorithm selection, Feature selection, Adaptive sampling, Hyperparameter tuning Want any exam dump in pdf email me at [email protected] (Little Paid)
Answer: B
NEW QUESTION # 43
Which Oracle Cloud Infrastructure (OCI) service should you use to create and run Spark applications using ADS?
- A. Data Flow
- B. Analytics Cloud
- C. Data Integration
- D. Vault
Answer: A
NEW QUESTION # 44
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. Define the inference server dependencies
- B. Configure the deployment infrastructure.
- C. Define the compute scaling strategy.
- D. Execute the inference logic code.
Answer: D
NEW QUESTION # 45
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 efficient way to do this with Data Science Jobs?
- A. Create a new job with increased storage size and then run the job.
- B. On the job run, set the environment variable that helps increase the size-of the storage.
- C. Your code is using too much disk space. Refactor the code to identify the problem.
- D. Edit the job, change the size of the storage of your job, and start a new job run.
Answer: D
NEW QUESTION # 46
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. Create your own log group and use a third-party logging service to capture job run details for log collection and storing.
- B. You can implement custom logging in your code by using the Data Science Jobs logging service.
- C. 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.
- 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 # 47
In the Oracle Cloud Infrastructure (OCI) Data Science service, how does Model Catalog help with model deployment and management in MLOps?
- A. It is a database that stores all the features used in a machine learning model.
- B. It helps to automate the feature engineering process.
- C. It helps to package the model and its dependencies into a lightweight, portable container.
- D. It provides a centralized and scalable way to manage models and their metadata.
Answer: D
NEW QUESTION # 48
You loaded data into Oracle Cloud Infrastructure (OCI) Data Science. To transform the data, you want to use the Accelerated Data Science (ADS) SDK. When you applied the get_recommendations () tool to the ADSDataset object, it showed you user-detected issues with all the recommended changes to apply to the dataset. Which option should you use to apply all the recommended transformations at once?
- A. fit_transform()
- B. get_transformed_dataset ()
- C. auto_transform()
- D. visualize_transforms ()
Answer: C
NEW QUESTION # 49
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. show_in_notebook ()
- B. DataFrameLabelEncoder ()
- C. auto_transform()
- D. OneHotEncoder ()
Answer: B
NEW QUESTION # 50
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 start a job run. When it is done, start a new job run until you achieve the number of runs required.
- B. 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.
- C. Reconfigure the job run because Data Science Jobs does not support embarrassingly parallel workloads.
- D. Create the job in Data Science Jobs and then start the number of simultaneous jobs runs required for your workload.
Answer: D
NEW QUESTION # 51
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. pearson_plot()
- B. corr()
- C. cramersv_plot()
- D. correlation_ratio_plot()
Answer: D
NEW QUESTION # 52
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-agent
- B. ssh-Keygen
- C. ssh-copy-id
- D. ssh-add
Answer: B
NEW QUESTION # 53
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 Precision
- B. Explained Variance Score
- C. Mean Absolute Error
- D. F-1 Score
- E. Weighted Recall
Answer: B,E
NEW QUESTION # 54
Youare a data scientist working for a manufacturing company. You have developed a forecasting 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. What file should be modified to include the missing libraries?
- A. requirements.txt
- B. model_artifact_validate.py
- C. score.py
- D. runtime.yaml
Answer: A
NEW QUESTION # 55
......
Pass 1z0-1110-23 Exam - Real Questions and Answers: https://www.validexam.com/1z0-1110-23-latest-dumps.html
Pass 1z0-1110-23 Review Guide, Reliable 1z0-1110-23 Test Engine: https://drive.google.com/open?id=1GB6w28VazqaSuqPb6JKdMd9-AtQbDg3T