[Jan 23, 2023] Updates Up to 365 days On Valid 1z0-1110-22 Braindumps
Best Quality1z0-1110-22 Exam Questions Oracle Test To Gain Brilliante Result
NEW QUESTION 27
You are a data scientist working for a manufacturing company, you have developed a fore-casting 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.?
- A. Model_artifact_validate.py
- B. Score.py
- C. Requirement.txt
- D. Runtime.yaml
Answer: C
NEW QUESTION 28
You want to evaluate the relationship between feature values and model predictions. You sus-pect that some of the features are correlated. Which model explanation technique would you recommend?
- A. Feature Permutation Importance Explanations.
- B. Local Interpretable Model-Agnostic Explanations.
- C. Accumulated Local Effects.
- D. Feature Dependence Explanations.
Answer: B
NEW QUESTION 29
You are working as a data scientist for a healthcare company. They decide to analyze the data to find patterns in a large volume of electronic medical records. You are asked to build a PySpark solution to analyze these records in a JupyterLab notebook. What is the order of recommended steps to develop a PySpark application in Oracle Cloud Infrastructure (OCI) Data Science?
- A. Develop your PySpark application Create a Data Flow application with the Ac-celerated Data Science (ADS) SOK
- B. Develop your PySpark application. Create a Data Flow application with the Ac-celerated Data science (ADS) SDK.
- C. Launch a notebook session. Install a PySpark conda environment. Configure coresite. xml.
- D. Launch a notebook session. Configure core-site.xml. Install a PySPark conda environ-ment.
- E. Configure core-site.xml. Install a PySPark conda environment. Create a Data Flow application with the Accelerated Data Science (ADS) SDK Develop your PySpark ap-plication. Launch a notebook session.
- F. Install a spark conda environment. Configure core-site.xml. Launch a notebook session: Create a Data Flow application with the Accelerated Data Science (ADS) SOK. Develop your PySpark application
Answer: B
NEW QUESTION 30
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 Cloud Infrastructure (OCI) Data Science
- B. Oracle Analytics Claud
- C. Oracle Open Data
- D. Oracle Big Data Service
Answer: C
NEW QUESTION 31
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 (mare CPUs/memory).
- C. Delete the deployment.
- D. Update the deployment to add more instances.
- E. Update the deployment to use fewer instances.
Answer: D
NEW QUESTION 32
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. Compute{}
- B. Show_corr{}
- C. Show_in_notebook{}
- D. To_xgb{}
Answer: C
NEW QUESTION 33
You are a data scientist using Oracle AutoML to produce a model and you are evaluating the score metric for the model. Which of the following TWO prevailing metrics would you use for evaluating multiclass classification model?
- A. R-Squared
- B. Recall
- C. F1 Score
- D. Mean squared error
- E. Explained variance score
Answer: B,C
NEW QUESTION 34
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 your code to expect different parameters as command line arguments, and create it new job every time you run the code.
- B. 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.
- C. Create a new no by setting the required parameters in your code, and create a new job for mery code change.
- D. Create a new job every time you need to run your code and pass the parameters as en-vironment variables.
Answer: B
NEW QUESTION 35
Six months ago, you created and deployed a model that predicts customer churn for a call center. Initially, it was yielding quality predictions. However, over the last two months, users have been questioning the credibility of the predictions. Which TWO methods customer churn would you employ to verify the accuracy of the model?
- A. Redeploy the model
- B. Drift monitoring
- C. Validate the model using recent data
- D. Retrain the model
- E. Operational monitoring
Answer: C,D
NEW QUESTION 36
You have received machine learning model training code, without clear information about the optimal shape to run the training on. 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 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 rerun the job. Repeat the process until the shape resources are fully utilized.
- B. 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.
- C. Start with the strangest compute shape Jobs 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.
- 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 37
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 38
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 allows you to encrypt no more than five keys at a time.
- B. Key rotation improves encryption efficiency.
- C. Periodically rotating keys limits the amount of data encrypted by one key version.
- 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 39
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 image using semantic segmentation, by drawing multiple bounding boxes to an image.
- B. Adding a single label to an image.
- C. Adding multiple labels to an image.
- D. Adding labels to an image by drawing bounding box to an image, is not supported by Data Labeling
- E. Adding labels to an image using object detection, by drawing bounding boxes to an im-age.
Answer: B,C,E
NEW QUESTION 40
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.print_trials()
- C. Oracle.automl.visualize_adaptive_sampling_trails()
- D. Oracle.automl.visualize_tuning_trails()
Answer: B
NEW QUESTION 41
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 com-pute shape, and capy your flies and data from your temporary bucket onto your new notebook session.
- B. Deactivate your notebook session, provision a new notebook session on larger compute shape, and re-create all your file changes.
- C. 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.
- 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: C
NEW QUESTION 42
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 manage permissions for the model catalog in this compartment.
- B. The networking configuration allows access to the Oracle Cloud Infrastructure (OCI) services through a Service Gateway.
- C. The policy for the dynamic group grants manages permissions for the model catalog in this compartment.
- D. The model artifact is saved to the block volume of the notebook session.
- E. The dynamic group's matching rule exists for notebook sessions in this compartment.
Answer: A,C
NEW QUESTION 43
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. Local explanation techniques are model agnostic, while global explanation techniques are not.
- B. Global behavior of a machine learning model may be complex, while the local behavior may be approximated with a simpler surrogate model.
- C. Global and local behaviors of machine learning models are similar.
- D. Model-agnostic techniques are more interpretable than techniques that are dependent on the types of models.
Answer: B
NEW QUESTION 44
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. SecretKeeper
- B. ADSTurner
- C. DatasetFactory
- D. Dataset Browser
Answer: D
NEW QUESTION 45
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 subfolder and classes. What is the best way to run this project as a job?
- A. Rewrite your code so that a single executable Python or Bash/Shell script file.
- B. ZIP the entire code project folder and upload it as a Job artifact Jobs automatically identifies
- 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. ZIP the entire code project folder and upload it as a Job artifact on job creation, Jobs identities the main executable file automatically.
Answer: C
Explanation:
That main top level where the code is run.
NEW QUESTION 46
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 hy-perparameter tuning is completed?
- A. The last generated hyperparameter configuration is returned.
- B. A hyperparameter configuration with a minimum learning rate is returned.
- C. The current best-known hyperparameter configuration is returned.
- D. A random hyperparameter configuration is returned.
Answer: C
NEW QUESTION 47
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 exploratory data analysis. From which TWO places can you access the ADS SDK?
- A. Conda environments in Oracle Cloud infrastructure (OCI) Data Science.
- B. Python Package Index (PyPi)
- C. Oracle Big Data Service
- D. Oracle Machine Learning
- E. Oracle Autonomous Data Warehouse
Answer: A,D
NEW QUESTION 48
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 condo 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. FastConnect to an on-premises network.
- C. NAT Gateway with public internet access.
- D. Service Gateway with private subnet access.
Answer: C
NEW QUESTION 49
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