一番最新のOracle 1z0-1110-22試験問題集PDFには2024年更新
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Oracle 1z0-1110-22試験は、Oracle Cloud Infrastructure Data Science 2022 Professional認定を取得したいプロフェッショナル向けに設計されています。この認定は、Oracle Cloud Infrastructure Data Scienceサービスを使用して機械学習モデルを構築、トレーニング、展開、および管理するために必要なスキルと知識を認定します。この試験は、データの準備、モデル開発、モデル展開、モデル監視、およびトラブルシューティングなどのトピックをカバーしています。この試験は60問で、105分以内に完了する必要があります。
Oracle 1z0-1110-22 試験の準備には、トレーニングコース、学習ガイド、練習試験など、さまざまなリソースを活用することができます。Oracle は、インストラクター主導のコース、自己ペースのオンラインコース、ハンズオンラボなど、さまざまなトレーニングオプションを提供しています。さらに、オンラインで入手可能な多数の学習ガイドや練習試験を活用することで、候補者は自分の知識を評価し、学習に焦点を当てる必要がある分野を特定することができます。
質問 # 31
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. Data Science Jots does not support automatic fog collection and storing.
- B. Make sure that your code is using the standard logging library and then store all the logs to Check Storage at the end of the job.
- C. You can implement custom logging in your code by using the Data Science Jobs logging.
- D. On job creation, enable logging and select a log group. Then, select either log or the op-tion to enable automatic log creation.
正解：C
質問 # 32
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 make it easier to reuse key.
- C. Key rotation reduces risk if a key is ever compromised.
- D. Periodically rotating keys limits the amount of data encrypted by one key version.
- E. Key rotation allows you to encrypt no more than five keys at a time.
正解：B、C
質問 # 33
You have created a model, and you want to use the Accelerated Data Science (ADS) SDK to deploy this model. Where can you save the artifacts to deploy this model with ADS?
- A. Model Catalog
- B. OCI Vault
- C. Model Depository
- D. Data Science Artifactory
正解：A
質問 # 34
When preparing your model artifact to save it to the Oracle Cloud Infrastructure (OCI) Data Science model catalog, you create a score.py file. What is the purpose of the score.py fie?
- A. Configure the deployment infrastructure.
- B. Define the compute scaling strategy.
- C. Define the inference server dependencies.
- D. Execute the inference logic code
正解：A
質問 # 35
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. Algorithm selection, Adaptive sampling. Feature selection, Hyperparameter tuning.
- B. Adaptive sampling, Feature selection, Algorithm selection, Hyperparameter tuning.
- C. Adaptive sampling, Algorithm selection, Feature selection, Hyperparameter tuning.
- D. Algorithm selection, Feature selection, Adaptive sampling, Hyperparameter tuning.
正解：A
質問 # 36
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. ADSTuner
- B. ADS Evaluator
- C. EvaluationMetrics
- D. ADS Explainer
正解：C
質問 # 37
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. Reduce the load balancer bandwidth limit so that fewer requests come in.
- B. Update the deployment to use fewer instances.
- C. Update the deployment to use a larger virtual machine (mare CPUs/memory).
- D. Delete the deployment.
- E. Update the deployment to add more instances.
正解：E
質問 # 38
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 Machine Learning
- B. Oracle Big Data Service
- C. Python Package Index (PyPi)
- D. Conda environments in Oracle Cloud infrastructure (OCI) Data Science.
- E. Oracle Autonomous Data Warehouse
正解：A、D
質問 # 39
You are working as a data scientist for a healthcare company. They decide to analyze the data to find patterns in a large volume of electronic medical records. You are asked to build a PySpark solution to analyze these records in a JupyterLab notebook. What is the order of recommended steps to develop a PySpark application in Oracle Cloud Infrastructure (OCI) Data Science?
- A. Install a spark conda environment. Configure core-site.xml. Launch a notebook session: Create a Data Flow application with the Accelerated Data Science (ADS) SOK. Develop your PySpark application
- B. Launch a notebook session. Install a PySpark conda environment. Configure coresite. xml.
- C. Launch a notebook session. Configure core-site.xml. Install a PySPark conda environ-ment.
- D. Configure core-site.xml. Install a PySPark conda environment. Create a Data Flow application with the Accelerated Data Science (ADS) SDK Develop your PySpark ap-plication. Launch a notebook session.
- E. Develop your PySpark application Create a Data Flow application with the Ac-celerated Data Science (ADS) SOK
- F. Develop your PySpark application. Create a Data Flow application with the Ac-celerated Data science (ADS) SDK.
正解：F
質問 # 40
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. Named Entity Extraction
- D. Classification (single/multi label)
- E. Object Detection
- F. Semantic Segmentation
正解：C、D、E
質問 # 41
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 hy-perparameter tuning is completed?
- A. The current best-known hyperparameter configuration is returned.
- B. A hyperparameter configuration with a minimum learning rate is returned.
- C. A random hyperparameter configuration is returned.
- D. The last generated hyperparameter configuration is returned.
正解：A
質問 # 42
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. XML
- B. JSON
- C. Raw Images
- D. DOCX
- E. Pandas DataFram
正解：A、B、E
質問 # 43
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 Anomaly Detection
- B. OCI Language
- C. OCI Speech
- D. OCI Translation
正解：C
質問 # 44
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. OCI Data Science allows privileges in notebook sessions.
- C. You can install private or custom libraries from your own internal repositories
- D. You can install any open source package available in a publicly accessible Python Package Index (PyPI) repository
- E. You cannot install a library that's not preinstalled in the provided image
正解：A、C、D
質問 # 45
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. Mobile App
- B. Command Line Interface (CLI)
- C. OCI Console
- D. Programming Language Software Development Kit (SDK)
正解：D
質問 # 46
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. Hyperparameter tuning
- D. Adaptive sampling
正解：D
質問 # 47
You are preparing a configuration object necessary to create a Data Flow application. Which THREE parameter values should you provide?
- A. The display name of the application.
- B. The local path to your pySpark script.
- C. The bucket used to read/write the pySpark script in Object Storage.
- D. The path to the arhive.zip file.
- E. The compartment of the Data Flow application.
正解：A、B、C
質問 # 48
What preparation steps are required to access an Oracle AI service SDK from a Data Science notebook session?
- A. Import the REST API
- B. Create and upload the API signing key and config file
- C. Create and upload execute.py and runtime.yaml
- D. Call the Accented Data Science (ADS) command to enable Al integration
正解：B
質問 # 49
You want to evaluate the relationship between feature values and model predictions. You sus-pect that some of the features are correlated. Which model explanation technique would you recommend?
- A. Feature Dependence Explanations.
- B. Local Interpretable Model-Agnostic Explanations.
- C. Accumulated Local Effects.
- D. Feature Permutation Importance Explanations.
正解：B
質問 # 50
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 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.
- 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 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.
- D. 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.
正解：D
質問 # 51
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 a new no by setting the required parameters in your code, and create a new job for mery code change.
- 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 your code to expect different parameters as command line arguments, and create it new job every time you run the code.
正解：C
質問 # 52
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. ADSTurner
- C. DatasetFactory
- D. SecretKeeper
正解：A
質問 # 53
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