Updated Jan-2024 1z0-1110-23 Exam Practice Test Questions
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Oracle 1z0-1110-23 Exam Syllabus Topics:
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NEW QUESTION # 11
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. The OCI Software Development Kit (SDK)
- D. Command line interface (CLI)
Answer: C
NEW QUESTION # 12
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. Create a pre-authenticated request (PAR) for the Object Storage bucket, and use that in the job code.
- B. Store your personal OCI config file and keys in the Vault and access the Vault through the job run resource principal.
- C. 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.
- D. Package your personal OCI config file and keys in the job artifact
Answer: C
NEW QUESTION # 13
You are a data scientist with a set of text and image files that need annotation, and you want to use Oracle Cloud Infrastructure (OCI) Data Labeling. Which of the following THREE an-notation classes are supported by the tool.?
- A. Polygonal Segmentation
- B. Key-Point and Landmark
- C. Semantic Segmentation
- D. Object Detection
- E. Named Entity Extraction
- F. Classification (single/multi label)
Answer: D,E,F
NEW QUESTION # 14
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 Cloud Infrastructure Data Science
- C. Oracle Analytics Cloud
- D. Oracle Open Data
Answer: D
NEW QUESTION # 15
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, Feature selection, Adaptive sampling, Hyperparameter tuning Want any exam dump in pdf email me at [email protected] (Little Paid)
- B. Adaptive sampling, Feature selection, Algorithm selection, Hyperparameter tuning
- C. Algorithm selection, Adaptive sampling, Feature selection, Hyperparameter tuning
- D. Adaptive sampling, Algorithm selection, Feature selection, Hyperparameter tuning
Answer: D
NEW QUESTION # 16
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. conda activate /home/datascience/conda/<SLUG>
- B. odsc conda list --override
- C. odsc conda create --file manifest.yaml
- D. odsc conda init --bucket_namespace <NAMESPACE> --bucket_name <BUCKET>
- E. odac conda publish --slug <SLUG>
Answer: D,E
NEW QUESTION # 17
You want to make your model more parsimonious to reduce the cost of collecting and processing data. 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. Corr{}
- C. Pearson_plot{}
- D. Cramersv_plot{}
Answer: A
NEW QUESTION # 18
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. A dynamic group has rules that matching the notebook sessions in it compartment.
- C. The model artifact is saved to the block volume of the notebook session.
- D. The policy for your user group grants manages permissions for the model catalog in this compartment.
- E. The policy for a dynamic group grant manages permissions for the model catalog in it compartment.
Answer: B,D
NEW QUESTION # 19
You want to ensure that all stdout and stderr from your code are automatically collected and logged, without implementing additional logging in your code. How would you achieve this with Data Science Jobs?
- A. You can implement custom logging in your code by using the Data Science Jobs logging service.
- B. Create your own log group and use a third-party logging service to capture job run details for log collection and storing.
- C. Make sure that your code is using the standard logging library and then store all the logs to Object Storage at the end of the job.
- D. On job creation, enable logging and select a log group. Then, select either a log or the option to enable automatic log creation.
Answer: D
NEW QUESTION # 20
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. You can install private or custom libraries from your own internal repositories.
- B. OCI Data Science allows root privileges in notebook sessions.
- C. You cannot install a library that's not preinstalled in the provided image
- D. You can only install libraries using yum and pip as a normal user.
- E. You can install any open source package available on a publicly accessible Python Package Index (PyPI) repository.
Answer: B,D,E
NEW QUESTION # 21
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. to_xgb ()
- B. show_corr()
- C. show_in_notebook ()
- D. compute ()
Answer: C
NEW QUESTION # 22
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 current best-known hyperparameter configuration is returned.
- B. A random hyperparameter configuration is returned.
- C. A hyperparameter configuration with a minimum learning rate is returned.
- D. The last generated hyperparameter configuration is returned
Answer: A
NEW QUESTION # 23
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 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.
- 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 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.
- 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 re- run the job. Repeat the process until the shape resources are fully utilized.
Answer: B
NEW QUESTION # 24
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_default_handler sales handler.
- B. Execute the is_tech_job_open_handler handler.
- C. Execute the is_tech_job_closed_handler handler.
- D. Throw an error because the system cannot determine which handler to run.
Answer: D
NEW QUESTION # 25
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 determines how many false alarms occur before an error message is generated.
- B. It changes the sensitivity of the model to detecting anomalies.
- C. It adds a score to each signal indicating the probability that its a false alarm.
- D. It is used to disable the reporting of false alarms.
Answer: B
NEW QUESTION # 26
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. Primary Virtual Network Interface Card (VNIC).
- B. Service Gateway with private subnet access
- C. NAT Gateway with public internet access.
- D. FastConnect to an on-premises network.
Answer: C
NEW QUESTION # 27
Which two statements are true about published conda environments?
- A. Your notebook session acts as the source to share published conda environments with team members.
- B. They are curated by Oracle Cloud Infrastructure (OCI) Data Science.
- C. In addition to service job run environment variables, conda environment variables can be used in Data Science Jobs.
- D. The odac conda init command is used to configure the location of published conda environments.
- E. You can only create a published conda environment by modifying a Data Science conda environment.
Answer: A,C
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
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