Practice Examples and Dumps & Tips for 2024 Latest 1z0-1110-23 Valid Tests Dumps
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NEW QUESTION # 40
You want to write a Python script to create a collection of different projects for your data science team. Which Oracle Cloud Infrastructure (OCI) Data Science interface would you use?
- A. OCI Console
- B. Mobile App
- C. Command line interface (CLI)
- D. The OCI Software Development Kit (SDK)
Answer: D
NEW QUESTION # 41
While reviewing your data, you discover that your data set has a class imbalance. You are aware that the Accelerated Data Science (ADS) SDK provides multiple built-in automatic transformation tools for data set transformation. Which would be the right tool to correct any imbalance between the classes?
- A. auto_transform()
- B. sample()
- C. suggeste_recoomendations()
- D. visualize_transforms()
Answer: A
NEW QUESTION # 42
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. To_xgb{}
- B. Show_corr{}
- C. Show_in_notebook{}
- D. Compute{}
Answer: C
NEW QUESTION # 43
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. ADSTuner
- C. DatasetBrowser
- D. DataLabeling
Answer: C
NEW QUESTION # 44
The Accelerated Data Science (ADS) model evaluation classes support different types of machine learning modeling techniques. Which three types of modeling techniques are supported by ADS Evaluators?
- A. Regression Analysis
- B. Multiclass Classification
- C. Binary Classification
- D. Recurrent Neural Network
- E. Principal Component Analysis
- F. K-means Clustering
Answer: A,B,C
NEW QUESTION # 45
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 data. Which of the following THREE statements are correct with respect to installing additional Python libraries to process the data?
- A. OCI Data Science allows root privileges in notebook sessions.
- B. You can install private or custom libraries from your own internal repositories.
- C. You can only install libraries using yum and pip as a normal user.
- D. You cannot install a library that's not preinstalled in the provided image
- E. You can install any open source package available on a publicly accessible Python Package Index (PyPI) repository.
Answer: A,C,E
NEW QUESTION # 46
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 an exploratory data analysis.
From which two places can you access or install the ADS SDK?
- A. Oracle Autonomous Data Warehouse
- B. Oracle Machine Learning (OML)
- C. Conda environments in Oracle Cloud Infrastructure (OCI) Data Science
- D. Oracle Big Data Service
- E. Python Package Index (PyPI
Answer: C,E
NEW QUESTION # 47
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 # 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. Update the deployment to use fewer instances.
- B. Reduce the load balancer bandwidth limit so that fewer requests come in.
- C. Update the deployment to add more instances.
- D. Delete the deployment.
- E. Update the deployment to use a larger virtual machine (more CPUs/memory).
Answer: B,C,E
NEW QUESTION # 49
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 conda environment. After running this command, you get a network timeout error.
What might be missing from your networking configuration?
- A. NAT Gateway with public internet access.
- B. FastConnect to an on-premises network.
- C. Primary Virtual Network Interface Card (VNIC).
- D. Service Gateway with private subnet access
Answer: A
NEW QUESTION # 50
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 --bucket_namespace <NAMESPACE> --bucket_name <BUCKET>
- B. odac conda publish --slug <SLUG>
- C. odsc conda list --override
- D. odsc conda create --file manifest.yaml
- E. conda activate /home/datascience/conda/<SLUG>
Answer: A,B
NEW QUESTION # 51
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. 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. - B. 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.
- C. Deactivate your notebook session, provision a new notebook session on a larger compute shape and re-create all of your file changes.
- D. 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.
Answer: A
NEW QUESTION # 52
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. Command Palette
- D. Notebook Examples
- E. Environment Explorer
Answer: D,E
NEW QUESTION # 53
You are using Oracle Cloud Infrastructure (OCI) Anomaly Detection to train a model to detect anomalies in pump sensor data. How does the required False Alarm Probability setting affect an anomaly detection model?
- A. It adds a score to each signal indicating the probability that its a false alarm.
- B. It changes the sensitivity of the model to detecting anomalies.
- C. It is used to disable the reporting of false alarms.
- D. It determines how many false alarms occur before an error message is generated.
Answer: B
NEW QUESTION # 54
Which two statements are true about published conda environments?
- A. They are curated by Oracle Cloud Infrastructure (OCI) Data Science.
- B. In addition to service job run environment variables, conda environment variables can be used in Data Science Jobs.
- C. The odac conda init command is used to configure the location of published conda environments.
- D. Your notebook session acts as the source to share published conda environments with team members.
- E. You can only create a published conda environment by modifying a Data Science conda environment.
Answer: B,D
NEW QUESTION # 55
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 subfolders and classes.
What is the best way to run this project as a Job?
- A. ZIP the entire code project folder and upload it as a Job artifact on job creation. Jobs identifies the main executable file automatically.
- B. 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.
- C. Rewrite your code so that it is a single executable Python or Bash/Shell script file.
- D. ZIP the entire code project folder and upload it as a Job artifact. Jobs automatically identifies the_main_ top level where the code is run.
Answer: B
NEW QUESTION # 56
You want to write a Python script to create a collection of different projects for your data science team. Which Oracle Cloud Infrastructure (OCI) Data Science Interface would you use?
- A. Command Line Interface (CLI)
- B. OCI Console
- C. Mobile App
- D. Programming Language Software Development Kit (SDK)
Answer: D
NEW QUESTION # 57
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. Raw Images
- C. JSON
- D. Pandas DataFrame
- E. XML
Answer: D,E
NEW QUESTION # 58
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