1Z0-1110-22 Online Practice Questions and Answers

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. Key rotation reduces risk if a key is ever compromised.

C. Key rotation improves encryption efficiency.

D. Periodically rotating keys make it easier to reuse key.

E. Periodically rotating keys limits the amount of data encrypted by one key version.

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. Oracle Autonomous Data Warehouse

B. Oracle Machine Learning

C. Conda environments in Oracle Cloud infrastructure (OCI) Data Science.

D. Python Package Index (PyPi)

E. Oracle Big Data Service

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. Adaptive sampling, Algorithm selection, Feature selection, Hyperparameter tuning.

C. Algorithm selection, Feature selection, Adaptive sampling, Hyperparameter tuning.

D. Algorithm selection, Adaptive sampling. Feature selection, Hyperparameter tuning.

You are building a model and need input that represents data as morning, afternoon, or evening. However, the data contains a time stamp. What part of the Data Science life cycle would you be in when creating the new variable?

A. Model type selection

B. Model validation

C. Data access

D. Feature engineering

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 a new job every time you need to run your code and pass the parameters as en- vironment variables.

B. Create your code to expect different parameters as command line arguments, and create it new job every time you run the code.

C. 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.

D. Create a new no by setting the required parameters in your code, and create a new job for mery code change.

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 Cloud Infrastructure (OCI) Data Science

D. Oracle Open Data

You are a data scientist working for a utilities company. You have developed an algorith 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 would you use to save the model artifact into the model catalog?

A. Console

B. Accelerated Data Science (ADS) Software Development Kit (SDK)

C. Oracle Cloud Infrastructure (OCI) Command Line Interface (CLI)

D. OCI Python SDK

E. Git CLI

F. ODSC CLI

You are using Oracle Cloud Infrastructure Anomaly Detection to train a model to detect anomalies in pump sensor data. How does the required False Alarm Probability settings affect an anomaly detection model?

A. It changes the sensitivity of the model to detect anomalies.

B. It is used to disable the reporting of false alarm.

C. It Adds a score to each signal indicating the probability that it is false alarm.

D. It determines how many false alarms occur before an error message is generated.

You are using a third-party Continuous Integration/Continuous Delivery (CI/CD) tool to create a pipeline for preparing and training models. How would you integrate a third-party tool outside Oracle Cloud Infrastructure (OCI) to access Data Science Jobs?

A. Third-party software can access Data Science Jobs by using any of the OCI Software Development Kits (SDKs).

B. Data Science Jobs does not accept code from third-party tools, therefore you need to run the pipeline externally.

C. Third-party tools use authentication keys to create and run.

D. Data Science Jobs Data Science Jobs is not accessible from outside OCI.

You have a data set with fewer than 1000 observations, and you are using Oracle AutoML to build a classifier. While visualizing the results of each stage of the Oracle AutoML pipeline, you notice that no visualization has been generated for one of the stages. Which stage is not visualized?

A. Feature selection

B. Algorithm selection

C. Adaptive sampling

D. Hyperparameter tuning