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Oracle 1z0-1110-22 Certification Exam is an ideal choice for professionals who want to enhance their career prospects in the field of data science and machine learning. By obtaining this certification, professionals can demonstrate their expertise in using Oracle Cloud Infrastructure Data Science to build and deploy machine learning models. Oracle Cloud Infrastructure Data Science 2022 Professional certification is recognized globally and can help professionals stand out in a competitive job market.
To prepare for the Oracle 1z0-1110-22 exam, candidates should have a strong understanding of data science concepts and techniques, as well as experience working with machine learning algorithms and tools. Additionally, candidates should have experience working with the Oracle Cloud Infrastructure environment and have a good understanding of the platform's key features and capabilities.
NEW QUESTION # 23
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. Runtime.yaml
- B. Score.py
- C. Model_artifact_validate.py
- D. Requirement.txt
Answer: D
NEW QUESTION # 24
You have created a model, and you want to use the Accelerated Data Science (ADS) SDK to deploy this model. Where can you save the artifacts to deploy this model with ADS?
- A. OCI Vault
- B. Data Science Artifactory
- C. Model Catalog
- D. Model Depository
Answer: C
NEW QUESTION # 25
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 either as environment variables or as command line arguments, which are set on every job run with different values.
- B. Create a new no by setting the required parameters in your code, and create a new job for mery code change.
- C. Create your code to expect different parameters as command line arguments, and create it new job every time you run the code.
- D. Create a new job every time you need to run your code and pass the parameters as en-vironment variables.
Answer: A
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. Table of Contents
- B. Notebook Examples
- C. Terminal
- D. Command Palette
- E. Environment Explorer
Answer: B,E
NEW QUESTION # 27
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 use fewer instances.
- C. Update the deployment to add more instances.
- D. Update the deployment to use a larger virtual machine (mare CPUs/memory).
- E. Reduce the load balancer bandwidth limit so that fewer requests come in.
Answer: C
NEW QUESTION # 28
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. Your code using too much disk space. Refactor the code to identify the problem.
- C. Edit the job, change the size of the storage of your job, and start a new job run.
- D. On the job run, set the environment variable that helps increase the size of the storage.
Answer: C
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. 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.
- B. Develop your PySpark application. Create a Data Flow application with the Ac-celerated Data science (ADS) SDK.
- C. Develop your PySpark application Create a Data Flow application with the Ac-celerated Data Science (ADS) SOK
- D. 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
- E. Launch a notebook session. Configure core-site.xml. Install a PySPark conda environ-ment.
- F. Launch a notebook session. Install a PySpark conda environment. Configure coresite. xml.
Answer: B
NEW QUESTION # 30
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 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.
- 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 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.
Answer: B
NEW QUESTION # 31
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. DOCX
- B. XML
- C. JSON
- D. Pandas DataFram
- E. Raw Images
Answer: B,C,D
NEW QUESTION # 32
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. Correlation_ratio_plot{}
- B. Cramersv_plot{}
- C. Pearson_plot{}
- D. Corr{}
Answer: A
NEW QUESTION # 33
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. Local Interpretable Model-Agnostic Explanations.
- B. Feature Dependence Explanations.
- C. Feature Permutation Importance Explanations.
- D. Accumulated Local Effects.
Answer: A
NEW QUESTION # 34
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 only install libraries using yum and pip as a normal user
- B. OCI Data Science allows privileges in notebook sessions.
- C. You cannot install a library that's not preinstalled in the provided image
- D. You can install private or custom libraries from your own internal repositories
- E. You can install any open source package available in a publicly accessible Python Package Index (PyPI) repository
Answer: A,D,E
NEW QUESTION # 35
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 Adds a score to each signal indicating the probability that it is false alarm.
- C. It determines how many false alarms occur before an error message is generated.
- D. It changes the sensitivity of the model to detect anomalies.
Answer: D
NEW QUESTION # 36
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 # 37
Which TWO statements are true about published conda environments?
- A. They are curated by Oracle Cloud Infrastructure (OCI) Data Science.
- B. Your notebook session acts as the source to share published conda environment with team members.
- C. The odsc conda init command is used to configure the location of published conda en-vironments.
- D. You can only create published conda environment by modifying a Data Science conde
- E. They can be used in Data Science Jobs and model deployments.
Answer: B,C
NEW QUESTION # 38
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. Execute the inference logic code
- B. Configure the deployment infrastructure.
- C. Define the compute scaling strategy.
- D. Define the inference server dependencies.
Answer: B
NEW QUESTION # 39
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 Big Data Service
- B. Oracle Analytics Claud
- C. Oracle Open Data
- D. Oracle Cloud Infrastructure (OCI) Data Science
Answer: C
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.print_trials()
- B. Oracle.automl.visualize_tuning_trails()
- C. Oracle.automl.visualize_algorith_selection_trails()
- D. Oracle.automl.visualize_adaptive_sampling_trails()
Answer: A
NEW QUESTION # 41
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. Periodically rotating keys make it easier to reuse key.
- C. Key rotation improves encryption efficiency.
- D. Key rotation reduces risk if a key is ever compromised.
- E. Periodically rotating keys limits the amount of data encrypted by one key version.
Answer: B,D
NEW QUESTION # 42
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. auto_transform()
- C. DataFramLabelEncode()
- D. OneHotEncoder()
Answer: C
NEW QUESTION # 43
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. 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.
- B. Create a pre-authenticated request (PAA) for the Object Storage bucket, and use that in the job code.
- C. Package your personal OC file and keys in the job artifact.
- D. Store your personal OCI config file and kays in the Vault, and access the Vault through the job nun resource principal
Answer: A
NEW QUESTION # 44
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