[May 13, 2024] 1z0-1110-23 Exam Dumps 100% Same Q&A In Your Real Exam
1z0-1110-23 Test Engine Dumps Training With 80 Questions
Oracle 1z0-1110-23 Exam Syllabus Topics:
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NEW QUESTION # 43
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. Sentiment analysis
- B. Sentence diagramming
- C. Table extraction
- D. Topic classification
- E. Punctuation correction
Answer: D
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 compute scaling strategy.
- B. Execute the inference logic code.
- C. Configure the deployment infrastructure.
- D. Define the inference server dependencies
Answer: B
NEW QUESTION # 45
As a data scientist, you create models for cancer prediction based on mammographic images.
The correct identification is very crucial in this case. After evaluating two models, you arrive at the following confusion matrix.
Model 1 has Test accuracy is 80% and recall is 70%.
* Model 2 has Test accuracy is 75% and recall is 85%.
Which model would you prefer and why?
- A. Model 2, because recall is high.
- B. Model 1, because recall has lesser impact on predictions in this use case
- C. Model 2, because recall has more impact on predictions in this use se.
- D. Model 1, because the test accuracy is high.
Answer: C
NEW QUESTION # 46
Which feature of the Oracle Cloud Infrastructure (OCI) Vision service helps you generate in-dexing tags for a collection of marketing photographs?
- A. Text recognition
- B. Key Value extraction
- C. Image classification
- D. Document classification
Answer: A
NEW QUESTION # 47
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 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.
- 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 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.
- D. 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.
Answer: C
NEW QUESTION # 48
. 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. Delete the deployment.
- B. Update the deployment to add more instances.
- C. Update the deployment to use fewer instances.
- D. Reduce the load balancer bandwidth limit so that fewer requests come in.
- E. Update the deployment to use a larger virtual machine (more CPUs/memory).
Answer: B,D,E
NEW QUESTION # 49
You want to evaluate the relationship between feature values and target variables. You have a large number of observations having a near uniform distribution and the features are highly correlated.
Which model explanation technique should you choose?
- A. Feature Permutation Importance Explanations
- B. Accumulated Local Effects
- C. Feature Dependence Explanations
- D. Local Interpretable Model-Agnostic Explanations
Answer: B
NEW QUESTION # 50
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. Rivert-Shamir-Adleman Keys
- B. Triple Data Encryption Standard Algorithm
- C. Advanced Encryption Standard Keys
- D. Elliptical Curve Cryptography Digital Signature Algorithm
Answer: C
NEW QUESTION # 51
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. DatasetBrowser
- B. ADSTuner
- C. SecretKeeper
- D. DataLabeling
Answer: A
NEW QUESTION # 52
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. Store your personal OCI config file and keys in the Vault and access the Vault through the job run resource principal.
- B. Package your personal OCI config file and keys in the job artifact
- C. 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.
- D. Create a pre-authenticated request (PAR) for the Object Storage bucket, and use that in the job code.
Answer: C
NEW QUESTION # 53
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 Language
- B. OCI Translation
- C. OCI Speech
- D. OCI Anomaly Detection
Answer: C
NEW QUESTION # 54
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, the total number of observations, and distributions of the data. Which Accelerated Data Science (ADS) SDK method from the ADSDataset class would you use?
- A. show_corr()
- B. to_xgb ()
- C. compute ()
- D. show_in_notebook ()
Answer: D
NEW QUESTION # 55
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. Your code using too much disk space. Refactor the code to identify the problem.
- C. On the job run, set the environment variable that helps increase the size of the storage.
- D. Create a new job with increased storage size and then run the job.
Answer: A
NEW QUESTION # 56
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. 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.
- C. Store your personal OCI config file and kays in the Vault, and access the Vault through the job nun resource principal
- D. Create a pre-authenticated request (PAA) for the Object Storage bucket, and use that in the job code.
Answer: B
NEW QUESTION # 57
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. Moving a project to a different compartment also moves its associated notebook sessions and models to the new compartment.
- D. You cannot move a project to a different compartment after it has been created.
Answer: C
NEW QUESTION # 58
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. Show_in_notebook{}
- B. Show_corr{}
- C. Compute{}
- D. To_xgb{}
Answer: A
NEW QUESTION # 59
You are a data scientist trying to load data into your notebook session. You understand that Accelerated Data Science (ADS) SDK supports loading various data formats.
Which of the following THREE are ADS supported data formats?
- A. JSON
- B. Raw Images
- C. DOCX
- D. XML
- E. Pandas DataFrame
Answer: D,E
NEW QUESTION # 60
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. Call the Accented Data Science (ADS) command to enable Al integration
- C. Create and upload execute.py and runtime.yaml
- D. Import the REST API
Answer: A
NEW QUESTION # 61
You want to write a program that performs document analysis tasks such as extracting text and tables from a document. Which Oracle AI service would you use?
- A. OCI Language
- B. OCI Vision
- C. OCI Speech
- D. Oracle Digital Assistant
Answer: B
NEW QUESTION # 62
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. 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.
- 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 session with a larger compute shape selected. - C. 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.
- D. Deactivate your notebook session, provision a new notebook session on a larger compute shape and re-create all of your file changes.
Answer: B
NEW QUESTION # 63
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