2023 Valid 1z0-1110-22 Exam Updates - 2023 Study Guide
1z0-1110-22 Certification - The Ultimate Guide [Updated 2023]
The Oracle 1z0-1110-22 exam is designed for data science professionals who want to validate their skills in Oracle Cloud Infrastructure Data Science. The certification exam tests the individual's ability to use Oracle Cloud Infrastructure Data Science to design, build, and deploy machine learning models that solve business problems. The exam is designed to measure the candidate's knowledge and skills in various areas of data science, including data preparation, machine learning, model deployment, and monitoring.
The Oracle 1z0-1110-22 exam covers a wide range of topics related to data science, including machine learning algorithms, data exploration and visualization, data preprocessing, model selection, and deployment. Candidates will also be tested on their knowledge of cloud computing concepts, such as cloud infrastructure, storage, and security. The exam consists of 60 multiple-choice questions, and candidates have 105 minutes to complete it.
NEW QUESTION # 11
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. EvaluationMetrics
- C. ADSTuner
- D. ADS Explainer
Answer: B
NEW QUESTION # 12
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. Command Palette
- B. Environment Explorer
- C. Table of Contents
- D. Terminal
- E. Notebook Examples
Answer: B,E
NEW QUESTION # 13
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 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.
- 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 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.
Answer: C
NEW QUESTION # 14
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. Programming Language Software Development Kit (SDK)
- C. Mobile App
- D. Command Line Interface (CLI)
Answer: B
NEW QUESTION # 15
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. Oracle Machine Learning
- D. Oracle Autonomous Data Warehouse
- E. Python Package Index (PyPi)
Answer: A,C
NEW QUESTION # 16
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. F1 Score
- B. R-Squared
- C. Recall
- D. Explained variance score
- E. Mean squared error
Answer: A,C
NEW QUESTION # 17
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_open_handler handler.
- B. Execute the is_tech_job_closed_handler handler.
- C. Execute the is_tech_job_default_handler sales handler.
- D. Throw an error because the system cannot determine which handler to run.
Answer: D
NEW QUESTION # 18
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. Pandas DataFram
- B. Raw Images
- C. JSON
- D. XML
- E. DOCX
Answer: A,C,D
NEW QUESTION # 19
You have created a conda environment in your notebook session. This is the first time you are working with published conda environments. You have also created an Object Storage bucket with permission to manage the bucket Which TWO commands are required to publish the conda environment?
- A. odsc conda init -b <your-bucket-name> -a <api_key or resource_principal>
- B. odsc conda publish --slug <SLUG>
- C. odsc conda create --file manifest.yaml
- D. odsc conda list --override
Answer: A,B
NEW QUESTION # 20
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. 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.
- B. Rewrite your code so that a single executable Python or Bash/Shell script file.
- C. ZIP the entire code project folder and upload it as a Job artifact on job creation, Jobs identities the main executable file automatically.
- D. ZIP the entire code project folder and upload it as a Job artifact Jobs automatically identifies
Answer: A
Explanation:
That main top level where the code is run.
NEW QUESTION # 21
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 OCI resources only via the resource principal.
- B. Data Science Jobs can access all OCI services.
- C. Some OCI services require authorizations not supported by Data Science Jobs.
- D. Data Science Jobs cannot access all OCI services.
Answer: B
NEW QUESTION # 22
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. Store your personal OCI config file and kays in the Vault, and access the Vault through the job nun resource principal
- C. Create a pre-authenticated request (PAA) for the Object Storage bucket, and use that in the job code.
- D. 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.
Answer: D
NEW QUESTION # 23
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 model artifact is saved to the block volume of the notebook session.
- B. The policy for the dynamic group grants manages permissions for the model catalog in this compartment.
- C. The dynamic group's matching rule exists for notebook sessions in this compartment.
- D. The networking configuration allows access to the Oracle Cloud Infrastructure (OCI) services through a Service Gateway.
- E. The policy for your user group grants manage permissions for the model catalog in this compartment.
Answer: B,E
NEW QUESTION # 24
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. Global behavior of a machine learning model may be complex, while the local behavior may be approximated with a simpler surrogate model.
- B. Local explanation techniques are model agnostic, while global explanation techniques are not.
- C. Model-agnostic techniques are more interpretable than techniques that are dependent on the types of models.
- D. Global and local behaviors of machine learning models are similar.
Answer: A
NEW QUESTION # 25
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 improves encryption efficiency.
- 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 allows you to encrypt no more than five keys at a time.
- E. Periodically rotating keys make it easier to reuse key.
Answer: C,E
NEW QUESTION # 26
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. You cannot install a library that's not preinstalled in the provided image
- C. OCI Data Science allows privileges in notebook sessions.
- 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 # 27
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. Sentence diagramming
- B. Sentiment analysis
- C. Table extraction
- D. Punctuation correction
- E. Topic classification
Answer: E
NEW QUESTION # 28
You are a data scientist designing an air traffic control model, and you choose to leverage Or-acle AutoML. You understand that the Oracle AutoML pipeline consists of multiple stages and automatically operates in a certain sequence. What is the correct sequence for the Oracle AutoML pipeline?
- A. Adaptive sampling, Feature selection, Algorithm selection, Hyperparameter tuning.
- B. Algorithm selection, Feature selection, Adaptive sampling, Hyperparameter tuning.
- C. Algorithm selection, Adaptive sampling. Feature selection, Hyperparameter tuning.
- D. Adaptive sampling, Algorithm selection, Feature selection, Hyperparameter tuning.
Answer: C
NEW QUESTION # 29
What preparation steps are required to access an Oracle AI service SDK from a Data Science notebook session?
- A. Call the Accented Data Science (ADS) command to enable Al integration
- B. Create and upload the API signing key and config file
- C. Import the REST API
- D. Create and upload execute.py and runtime.yaml
Answer: B
NEW QUESTION # 30
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. Dataset Browser
- B. SecretKeeper
- C. ADSTurner
- D. DatasetFactory
Answer: A
NEW QUESTION # 31
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