Oracle 1z0-997-23 Oracle Cloud Infrastructure 2023 Architect Professional Exam Practice Test

• Option A is incorrect because rclone is not a tool provided by Object Storage. It is a third-party command-line program that can sync files to and from various cloud storage providers, including Object Storage1.
• Option B is incorrect because contiguous numbers are not required for each part. Object Storage constructs the object by ordering part numbers in ascending order only if they are not specified in the commit operation1.
• Option C is correct because after initiating a multipart upload, you need to explicitly commit or abort it. Otherwise, it remains active until it expires after 24 hours1.
• Option D is incorrect because Object Storage does not provide APIs to split a file into multiple parts. You need to use your own tools or programs to do that1.
• Option E is correct because you can list all parts that have been uploaded for an active multipart upload by using the ListMultipartUploadParts API or CLI command. However, you cannot list information for an individual object part by using the GetObject API or CLI command1.

• Option A is correct because using Autonomous Transaction Processing with shared Exadata infrastructure is the most suitable option for running seasonal workloads in Oracle Cloud Infrastructure. Autonomous Transaction Processing is a fully managed, serverless, and elastic database service that can scale up or down automatically based on the workload demand. It also supports stopping and starting the database to save costs when it is not in use.It runs on Exadata infrastructure, which provides high performance, availability, and security for transactional and mixed workloads12.
• Option B is incorrect because using Oracle Cloud Infrastructure Exadata DB Systems is not optimal for running seasonal workloads in Oracle Cloud Infrastructure. Exadata DB Systems are dedicated, high-performance database systems that can run multiple databases with different shapes and versions. However, they are not serverless or elastic, and they do not support stopping and starting the database.They are more suitable for mission-critical and steady-state workloads that require consistent performance and availability3.
• Option C is incorrect because using Oracle Cloud Infrastructure Virtual Machine DB Systems is not optimal for running seasonal workloads in Oracle Cloud Infrastructure. Virtual Machine DB Systems are flexible and cost-effective database systems that can run single-node or RAC databases with different shapes and versions. However, they are not serverless or elastic, and they do not support stopping and starting the database. They are more suitable for development, testing, or production workloads that require moderate performance and availability .
• Option D is incorrect because using Oracle Cloud Infrastructure Bare Metal DB Systems is not optimal for running seasonal workloads in Oracle Cloud Infrastructure. Bare Metal DB Systems are high-performance database systems that run single-node databases with locally attached NVMe storage. However, they are not serverless or elastic, and they do not support stopping and starting the database. They are more suitable for high-performance, latency-sensitive, specialized, or traditional workloads that require full control over the entire cloud stack .

To complete the task of setting up the context for Fn CLI and deploying the python function to exam-app, you can follow these steps:

a. Set up the Fn CLI context in Cloud Shell - In the OCI Console, go toDeveloper Servicesand clickFunctions. - Select your assigned compartment from the list on the left. - ClickGetting Startedon the top right corner. - Copy and paste the commands from theSet Up Fn CLI Contextsection into the Cloud Shell window. This will create a new context for your region and compartment. - Set your registry [repo-name-prefix] by entering the following command in the Cloud Shell window:

`fn update context registry [region_key].ocir.io/[tenancy-name]/{username}`

where [region_key] is the region key for your region (for example, iad for US East Ashburn), [tenancy-name] is the name of your tenancy (for example, ocuocictrng16), and {username} is your username (for example, 99248134-lab.user01).

For example, if your region is US East Ashburn, your tenancy is ocuocictrng16, and your username is 99248134-lab.user01, your command would be:

`fn update context registry iad.ocir.io/ocuocictrng16/99248134-lab.user01`

b. Login to the registry using docker login, which will require you to generate and use an Auth Token - To generate an Auth Token, follow these steps: - In the OCI Console, open the Profile menu on the top right corner and clickUser Settings. - ClickAuth Tokenson the left panel and then clickGenerate Token. - Enter a description for the token and clickGenerate Token. - Copy and save the token value. You will not be able to see it again later. - To login to the registry using docker login, follow these steps: - In the Cloud Shell window, enter the following command:

`docker login [region_key].ocir.io`

where [region_key] is the region key for your region (for example, iad for US East Ashburn).

For example, if your region is US East Ashburn, your command would be:

`docker login iad.ocir.io`

- Enter your username in the format `[tenancy-name]/oracleidentitycloudservice/{username}` (for example, ocuocictrng16/oracleidentitycloudservice/99248134-lab.user01) and press Enter.

- Enter your Auth Token as the password and press Enter. You should see a message saying "Login Succeeded".

c. Use wget upload the zip archive containing the Python function files to Cloud Shell. - In the Cloud Shell window, enter the following command:

`wget

This will download the zip archive to your current directory.

d. Extract the files by using the unzip utility and navigate to the python sub-folder - In the Cloud Shell window, enter the following commands:

`unzip ExamFunction-main.zip`

`cd ExamFunction-main/python`

This will extract the files from the zip archive and change your current directory to the python sub-folder.

e. Deploy the python function to the exam-app using an fn command - In the Cloud Shell window, enter the following command:

`fn deploy --app exam-app --local`

This will deploy the python function to the exam-app application using your local Docker image.

f. Invoke the function at least 2 times using an fn command - In the Cloud Shell window, enter the following command:

`fn invoke exam-app hellopython`

This will invoke the function and print its output.

- You can invoke the function again by repeating the same command or pressing Up Arrow and Enter keys. You should see different outputs each time you invoke the function.