Latest 1z0-1110-23 Exam Dumps Oracle Exam from Training Expert TrainingDumps
Pass Oracle Oracle Cloud Infrastructure Data Science 2023 Professional PDF Dumps | Recently Updated 80 Questions
Oracle 1z0-1110-23 Exam Syllabus Topics:
| Topic | Details |
|---|---|
| Topic 1 |
|
| Topic 2 |
|
| Topic 3 |
|
| Topic 4 |
|
| Topic 5 |
|
| Topic 6 |
|
| Topic 7 |
|
NEW QUESTION # 14
You want to build a multistep machine learning workflow by using the Oracle Cloud Infrastructure (OCI) Data Science Pipeline feature. How would you configure the conda environment to run a pipeline step?
- A. Use environmental variables
- B. Configure a compute shape.
- C. Use command-line variables.
- D. Configure a block volume.
Answer: A
NEW QUESTION # 15
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, the total number of observations, and distributions of the data. Which Accelerated Data Science (ADS) SDK method from the ADSDataset class would you use?
- A. compute ()
- B. show_in_notebook ()
- C. to_xgb ()
- D. show_corr()
Answer: B
NEW QUESTION # 16
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 Big Data Service
- B. Conda environments in Oracle Cloud Infrastructure (OCI) Data Science
- C. Oracle Autonomous Data Warehouse
- D. Oracle Machine Learning (OML)
- E. Python Package Index (PyPI
Answer: B,E
NEW QUESTION # 17
Six months ago, you created and deployed a model that predicts customer churn for a call centre. Initially, it was yielding quality predictions. However, over the last two months, users are questioning the credibility of the predictions.
Which two methods would you employ to verify the accuracy of the model?
- A. Retrain the model
- B. Operational monitoring
- C. Redeploy the model
- D. Drift monitoring
- E. Validate the model using recent data
Answer: D,E
NEW QUESTION # 18
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 efficient way to do this with Data Science Jobs?
- A. Edit the job, change the size of the storage of your job, and start a new job run.
- B. Create a new job with increased storage size and then run the job.
- C. Your code is using too much disk space. Refactor the code to identify the problem.
- D. On the job run, set the environment variable that helps increase the size-of the storage.
Answer: A
NEW QUESTION # 19
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. suggest_recommendations()
- C. sample ()
- D. visualize_transforms ()
Answer: C
NEW QUESTION # 20
What preparation steps are required to access an Oracle AI service SDK from a Data Science notebook session?
- A. Call the ADS command to enable AI integration
- B. Create and upload score.py and runtime.yaml.
- C. Create and upload the APIsigning key and config file.
- D. Import the REST API.
Answer: C
NEW QUESTION # 21
Where do calls to stdout and stderr from score.py go in a model deployment?
- A. The file that was defined for them on the Virtual stachine (VM).
- B. The OCI console.
- C. The OCI Cloud Shell, which can be accessed from the console.
- D. The predict log in the Oracle Cloud Infrastructure (OCI) Logging service as defined in the deployment.
Answer: D
NEW QUESTION # 22
You are a data scientist working for a utilities company. You have developed an algorithm that detects anomalies from a utility reader in the grid. The size of the model artifact is about 2 GB, and you are trying to store it in the model catalog. Which three interfaces could you use to save the model artifact into the model catalog?
- A. Oracle Cloud Infrastructure (OCI) Command Line Interface (CLI)
- B. OCI Python SDK
- C. Accelerated Data Science (ADS) Software Development Kit (SDK)
- D. ODSC CLI
- E. Console
- F. Git CLI
Answer: A,B,C
NEW QUESTION # 23
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. conda activate /home/datascience/conda/<SLUG>
- C. odac conda publish --slug <SLUG>
- D. odsc conda list --override
- E. odsc conda create --file manifest.yaml
Answer: A,C
NEW QUESTION # 24
You are a data scientist designing an air traffic control model, and you choose to leverage Oracle 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. Algorithm selection, Adaptive sampling, Feature selection, Hyperparameter tuning
- B. Algorithm selection, Feature selection, Adaptive sampling, Hyperparameter tuning Want any exam dump in pdf email me at [email protected] (Little Paid)
- C. Adaptive sampling, Feature selection, Algorithm selection, Hyperparameter tuning
- D. Adaptive sampling, Algorithm selection, Feature selection, Hyperparameter tuning
Answer: D
NEW QUESTION # 25
You want to use ADSTuner to tune the hyperparameters of a supported model you recently trained. You have just started your search and want to reduce the computational cost as well as access the quality of the model class that you are using.
What is the most appropriate search space strategy to choose?
- A. ADSTuner doesn't need a search space to tune the hyperparameters.
- B. Perfunctory
- C. Detailed
- D. Pass a dictionary that defines a search space
Answer: B
NEW QUESTION # 26
You are a computer vision engineer building an image recognition model. You decide to use Oracle Data Labeling to annotate your image data. Which of the following THREE are possible ways to annotate an image in Data Labeling?
- A. Adding labels to an image using object detection, by drawing bounding boxes to an im-age.
- B. Adding multiple labels to an image.
- C. Adding labels to image using semantic segmentation, by drawing multiple bounding boxes to an image.
- D. Adding a single label to an image.
- E. Adding labels to an image by drawing bounding box to an image, is not supported by Data Labeling
Answer: A,B,D
NEW QUESTION # 27
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. 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.
- B. Deactivate your notebook session, provision a new notebook session on a larger compute shape and re-create all of your file changes.
- C. 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.
- 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 session with a larger compute shape selected.
Answer: D
NEW QUESTION # 28
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. Rewrite your code so that it is a single executable Python or Bash/Shell script file.
- C. 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.
- D. 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.
Answer: D
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. Redeploy the model
- C. Retrain the model
- D. Validate the model using recent data
- E. Drift monitoring
Answer: C,D
NEW QUESTION # 30
You are asked to prepare data for a custom-built model that requires transcribing Spanish video recordings into a readable text format with profane words identified. Which Oracle Cloud service would you use?
- A. OCI Speech
- B. OCI Anomaly Detection
- C. OCI Language
- D. OCI Translation
Answer: A
NEW QUESTION # 31
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 hyperparameter 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 # 32
You have an embarrassingly parallel or distributed batch job on a large amount of data that you consider running using Data Science Jobs. What would be the best approach to run the workload?
- A. Reconfigure the job run because Data Science Jobs does not support embarrassingly parallel workloads.
- B. Create the job in Data Science Jobs and then start the number of simultaneous jobs runs required for your workload.
- C. Create the job in Data Science Jobs and start a job run. When it is done, start a new job run until you achieve the number of runs required.
- D. Create a new job for every job run that you have to run in parallel, because the Data Science Jobs service can have only one job run per job.
Answer: B
NEW QUESTION # 33
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. sample()
- B. auto_transform()
- C. visualize_transforms()
- D. suggeste_recoomendations()
Answer: B
NEW QUESTION # 34
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 networking configuration allows access to Oracle Cloud Infrastructure services through a Service Gateway.
- B. The policy for your user group grants manages permissions for the model catalog in this compartment.
- C. A dynamic group has rules that matching the notebook sessions in it compartment.
- D. The model artifact is saved to the block volume of the notebook session.
- E. The policy for a dynamic group grant manages permissions for the model catalog in it compartment.
Answer: B,C
NEW QUESTION # 35
You have received machine learning model training code, without clear information about the optimal shape to run the training. 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 re- run the job. Repeat the process until the shape resources are fully utilized.
- B. 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.
- 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 strongest compute shape Job's 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 # 36
......
Updated Test Engine to Practice 1z0-1110-23 Dumps & Practice Exam: https://www.trainingdumps.com/1z0-1110-23_exam-valid-dumps.html
Dumps Collection 1z0-1110-23 Test Engine Dumps Training With 80 Questions: https://drive.google.com/open?id=1j0RRk2QVp5GNmxOLxOwQnQa92t63ua2t
