Verified 1z0-1110-22 dumps Q&As - Pass Guarantee Exam Dumps Test Engine [2023]
1z0-1110-22 dumps and 58 unique questions
NEW QUESTION # 15
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. FastConnect to an on-premises network.
- B. Primary Virtual Network Interface Card (VNIC).
- C. Service Gateway with private subnet access.
- D. NAT Gateway with public internet access.
Answer: D
NEW QUESTION # 16
Where do calls to stdout and stderr from score.py go in a model deployment?
- A. The predict log in the Oracle Cloud Infrastructure (OCI) Logging service as defined in the deployment.
- B. The OCI Cloud Shell, which can be accessed from the console.
- C. The file that was defined for them on the Virtual stachine (VM).
- D. The OCI console.
Answer: A
NEW QUESTION # 17
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. ADS Evaluator
- B. ADSTuner
- C. ADS Explainer
- D. EvaluationMetrics
Answer: D
NEW QUESTION # 18
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. DatasetFactory
- B. Dataset Browser
- C. SecretKeeper
- D. ADSTurner
Answer: B
NEW QUESTION # 19
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. Explained variance score
- C. Recall
- D. F1 Score
- E. Mean squared error
Answer: C,D
NEW QUESTION # 20
You are building a model and need input that represents data as morning, afternoon, or evening. However, the data contains a time stamp. What part of the Data Science life cycle would you be in when creating the new variable?
- A. Feature engineering
- B. Model type selection
- C. Data access
- D. Model validation
Answer: D
NEW QUESTION # 21
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. Feature selection
- B. Algorithm selection
- C. Adaptive sampling
- D. Hyperparameter tuning
Answer: C
NEW QUESTION # 22
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 is used to disable the reporting of false alarm.
- B. It changes the sensitivity of the model to detect anomalies.
- C. It Adds a score to each signal indicating the probability that it is false alarm.
- D. It determines how many false alarms occur before an error message is generated.
Answer: B
NEW QUESTION # 23
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 reduces risk if a key is ever compromised.
- C. Periodically rotating keys make it easier to reuse key.
- D. Periodically rotating keys limits the amount of data encrypted by one key version.
- E. Key rotation improves encryption efficiency.
Answer: B,C
NEW QUESTION # 24
You want to make your model more parsimonious to reduce the cost of collecting and processing dat a. 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 would be appropriate to display the correlation between Continuous and Categorical features?
- A. Cramersv_plot{}
- B. Pearson_plot{}
- C. Corr{}
- D. Correlation_ratio_plot{}
Answer: D
NEW QUESTION # 25
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. Launch a notebook session. Configure core-site.xml. Install a PySPark conda environ-ment.
- B. Develop your PySpark application Create a Data Flow application with the Ac-celerated Data Science (ADS) SOK
- C. 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
- D. Launch a notebook session. Install a PySpark conda environment. Configure coresite. xml.
- E. Develop your PySpark application. Create a Data Flow application with the Ac-celerated Data science (ADS) SDK.
- F. 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.
Answer: E
NEW QUESTION # 26
Which of the following TWO non-open source JupyterLab extensions has Oracle Cloud In-frastructure (OCI) Data Science developed and added to the notebook session experience?
- A. Terminal
- B. Table of Contents
- C. Notebook Examples
- D. Environment Explorer
- E. Command Palette
Answer: C,D
NEW QUESTION # 27
The feature type TechJob has the following registered validators: Tech-Job.validator.register(name='is_tech_job', handler=is_tech_job_default_handler) Tech-Job.validator.register(name='is_tech_job', handler= is_tech_job_open_handler, condi-tion=('job_family',)) TechJob.validator.register(name='is_tech_job', handler= is_tech_job_closed_handler, condition=('job_family': 'IT')) When you run is_tech_job(job_family='Engineering'), what does the feature type validator system do?
- A. Execute the is_tech_job_closed_handler handler.
- B. Execute the is_tech_job_open_handler handler.
- C. Throw an error because the system cannot determine which handler to run.
- D. Execute the is_tech_job_default_handler sales handler.
Answer: C
NEW QUESTION # 28
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 # 29
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. The current best-known hyperparameter configuration is returned.
- C. A random hyperparameter configuration is returned.
- D. A hyperparameter configuration with a minimum learning rate is returned.
Answer: B
NEW QUESTION # 30
You want to write a Python script to create a collection of different projects for your data sci-ence team. Which Oracle Cloud Infrastructure (OCI) Data Science Interface would you use?
- A. OCI Console
- B. Mobile App
- C. Programming Language Software Development Kit (SDK)
- D. Command Line Interface (CLI)
Answer: C
NEW QUESTION # 31
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Oracle 1z0-1110-22 exam is designed to test the knowledge and skills of professionals in the field of data science in cloud-based environments. 1z0-1110-22 exam is part of the Oracle Cloud Infrastructure Data Science Professional certification program and is intended for data scientists, analysts, and engineers who are interested in building and deploying machine learning models using cloud-based tools.
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.
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