Dec 30, 2023 1z0-1110-22 Exam Crack Test Engine Dumps Training With 58 Questions
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Oracle 1z0-1110-22 certification exam is a challenging yet rewarding test of an individual's knowledge and skills in the field of data science within the Oracle Cloud Infrastructure environment. With the right preparation and experience, candidates can successfully pass the exam and earn this valuable certification.
Oracle 1z0-1110-22 certification exam consists of 60 multiple-choice questions, and candidates are given two hours to complete the exam. 1z0-1110-22 exam can be taken in a proctored environment or remotely, depending on the candidate's preference. To pass the exam, candidates must score at least 70%.
NEW QUESTION # 11
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. Algorithm selection
- B. Adaptive sampling
- C. Hyperparameter tuning
- D. Feature selection
Answer: B
NEW QUESTION # 12
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. Feature Dependence Explanations.
- C. Local Interpretable Model-Agnostic Explanations.
- D. Accumulated Local Effects.
Answer: C
NEW QUESTION # 13
Which feature of the Oracle Cloud Infrastructure (OCI) Vision service helps you generate in-dexing tags for a collection of marketing photographs?
- A. Image classification
- B. Document classification
- C. Key Value extraction
- D. Text recognition
Answer: D
NEW QUESTION # 14
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. Create a new job with increased storage size and then run the job.
- B. Edit the job, change the size of the storage of your job, and start a new job run.
- C. On the job run, set the environment variable that helps increase the size of the storage.
- D. Your code using too much disk space. Refactor the code to identify the problem.
Answer: B
NEW QUESTION # 15
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. 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 # 16
You are using a third-party Continuous Integration/Continuous Delivery (CI/CD) tool to create a pipeline for preparing and training models. How would you integrate a third-party tool outside Oracle Cloud Infrastructure (OCI) to access Data Science Jobs?
- A. Third-party tools use authentication keys to create and run.
- B. Data Science Jobs does not accept code from third-party tools, therefore you need to run the pipeline externally.
- C. Third-party software can access Data Science Jobs by using any of the OCI Software Development Kits (SDKs).
- D. Data Science Jobs Data Science Jobs is not accessible from outside OCI.
Answer: C
NEW QUESTION # 17
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. Create and upload execute.py and runtime.yaml
- C. Call the Accented Data Science (ADS) command to enable Al integration
- D. Import the REST API
Answer: A
NEW QUESTION # 18
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. Regression Analysis
- B. Binary Classification
- C. Principal Component Analysis
- D. Recurrent Neural Network
- E. K-Means Clustering
- F. Multiclass Classification
Answer: A,B,F
NEW QUESTION # 19
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 fie?
- A. Define the compute scaling strategy.
- B. Define the inference server dependencies.
- C. Configure the deployment infrastructure.
- D. Execute the inference logic code
Answer: C
NEW QUESTION # 20
You are a data scientist with a set of text and image files that need annotation, and you want to use Oracle Cloud Infrastructure (OCI) Data Labeling. Which of the following THREE an-notation classes are supported by the tool.?
- A. Named Entity Extraction
- B. Classification (single/multi label)
- C. Semantic Segmentation
- D. Polygonal Segmentation
- E. Object Detection
- F. Key-Point and Landmark
Answer: A,B,E
NEW QUESTION # 21
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. You can implement custom logging in your code by using the Data Science Jobs logging.
- C. On job creation, enable logging and select a log group. Then, select either log or the op-tion to enable automatic log creation.
- D. 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.
Answer: B
NEW QUESTION # 22
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 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 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.
- 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 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.
Answer: C
NEW QUESTION # 23
You are using Oracle Cloud Infrastructure Anomaly Detection to train a model to detect anomalies in pump sensor dat a. How does the required False Alarm Probability settings affect an anomaly detection model?
- A. It Adds a score to each signal indicating the probability that it is false alarm.
- B. It changes the sensitivity of the model to detect anomalies.
- C. It determines how many false alarms occur before an error message is generated.
- D. It is used to disable the reporting of false alarm.
Answer: B
NEW QUESTION # 24
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. Explained Variance Score
- B. Weighted Precision
- C. Weighted Recall
- D. F-1 Score
- E. Mean Absolute Error
Answer: A,E
NEW QUESTION # 25
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. Reduce the load balancer bandwidth limit so that fewer requests come in.
- C. Update the deployment to add more instances.
- D. Update the deployment to use a larger virtual machine (mare CPUs/memory).
- E. Update the deployment to use fewer instances.
Answer: C
NEW QUESTION # 26
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. Oracle Big Data Service
- C. Python Package Index (PyPi)
- D. Oracle Autonomous Data Warehouse
- E. Oracle Machine Learning
Answer: A,E
NEW QUESTION # 27
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. Periodically rotating keys make it easier to reuse key.
- B. Periodically rotating keys limits the amount of data encrypted by one key version.
- C. Key rotation reduces risk if a key is ever compromised.
- D. Key rotation improves encryption efficiency.
- E. Key rotation allows you to encrypt no more than five keys at a time.
Answer: A,C
NEW QUESTION # 28
Which TWO statements are true about published conda environments?
- A. They can be used in Data Science Jobs and model deployments.
- B. You can only create published conda environment by modifying a Data Science conde
- C. The odsc conda init command is used to configure the location of published conda en-vironments.
- D. They are curated by Oracle Cloud Infrastructure (OCI) Data Science.
- E. Your notebook session acts as the source to share published conda environment with team members.
Answer: C,E
NEW QUESTION # 29
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. Operational monitoring
- B. Drift monitoring
- C. Redeploy the model
- D. Validate the model using recent data
- E. Retrain the model
Answer: D,E
NEW QUESTION # 30
You have developed a model training code that regularly checks for new data in Object Storage and retrains the model. Which statement best describes the Oracle Cloud Infrastructure (OCI) services that can be accessed from Data Science Jobs?
- A. Data Science Jobs can access all OCI services.
- B. Data Science Jobs can access OCI resources only via the resource principal.
- C. Data Science Jobs cannot access all OCI services.
- D. Some OCI services require authorizations not supported by Data Science Jobs.
Answer: A
NEW QUESTION # 31
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 dat a. Which of the following THREE statements are correct with respect to installing additional Python libraries to process the data?
- A. You can install private or custom libraries from your own internal repositories
- B. You can install any open source package available in a publicly accessible Python Package Index (PyPI) repository
- C. You cannot install a library that's not preinstalled in the provided image
- D. You can only install libraries using yum and pip as a normal user
- E. OCI Data Science allows privileges in notebook sessions.
Answer: A,B,D
NEW QUESTION # 32
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. Dataset Browser
- C. DatasetFactory
- D. ADSTurner
Answer: B
NEW QUESTION # 33
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