Practice Free 1z0-1105-23 Oracle Cloud Data Management 2023 Foundations Associate Exam Questions Answers With Explanation

Data Labeling is not a built-in tool provided by Autonomous Database. According to the Oracle documentation4, “Autonomous Database includes built-in tools that you can enable and disable when you provision or clone a database, or at any time for an existing database.” The list of built-in tools includes Oracle APEX, Database Actions, Graph Studio, Oracle ML User Interface, Data Transforms, Web Access (ORDS), MongoDB API, and SODA Drivers. Data Labeling is not among these tools.

Graph, relational, and spatial are three typical data types/models that are covered by Oracle’s Converged Database. A converged database is a multi-model, multitenant, multi-workload database that supports the data model and access method each development team wants, without unneeded functionality getting in the way. A graph data model represents data as nodes and edges, and enables complex queries based on relationships and patterns. A relational data model organizes data into tables with rows and columns, and supports SQL queries and transactions. A spatial data model stores and manipulates geometric and geographic data, such as points, lines, polygons, and raster images.

Regulations that prevent moving data into the public cloud and putting data in the cloud would break data residency rules are two typical reasons why customers cannot move their database into the public cloud. Some organizations may have legal, compliance, or business policy requirements that restrict where their data can be stored or processed. For example, some regulations may require that data be stored within a certain country or region, or that data be encrypted or anonymized before being transferred to the cloud. Moving data to the public cloud may violate these regulations or introduce additional risks or costs for the customers.

Exadata DB Systems is an OCI service that is NOT available as part of Oracle Cloud Free Tier. According to the Oracle website5, “Oracle Cloud Free Tier includes a free time-limited promotional trial that allows you to explore a wide range of Oracle Cloud Infrastructure products, and a set of Always Free offers that never expire.” The list of eligible services for the Free Tier does not include Exadata DB Systems, which is a high-performance database platform that runs on OCI6.

View of data for discovery is the level of data detail that Data Catalog provides when integrated with Autonomous Databases and Object storage. According to the Oracle documentation6, “Oracle Cloud Infrastructure Data Catalog is a fully managed, self-service data discovery and governance solution for your enterprise data. Data Catalog helps you maximize the value of your data assets by providing a rich set of capabilities that enable you to discover, explore, organize, enrich, and trace data lineage on various types of data sources.” Data Catalog provides a view of data for discovery by using metadata to create an informative and searchable inventory of all data assets in an organization.

Changing COMPATIBLE after upgrades is one of the scenarios when you should change COMPATIBLE. According to the Oracle blog post7, “COMPATIBLE needs to be adjusted only once after you completed your last database upgrade.” The blog post also explains that changing COMPATIBLE requires a restart of the database and that it should not be changed before upgrades or patching or after downgrades.

Nosql-keys is not a resource type for NoSQL Database Cloud Service. According to the Oracle documentation, “Oracle NoSQL Database Cloud Service supports three resource types: nosql-tables, nosql-rows, and nosql-indexes. These resource types are used to define policies that control access to NoSQL tables and data.”

Loading data using FTP is not an option in Database Actions to load data into Autonomous Database. According to the Oracle documentation5, “On the Database Actions Data Load pageyou can choose to load data from a file on your local device, from cloud storage, or from a database. You can also choose to explore the data in your Oracle Autonomous Database.” There is no mention of FTP as a source for loading data.

Compliance for use of specific geographies for data sovereignty laws and workload utilization of specific services are two advantages of a multicloud strategy. A multicloud strategy allows organizations to use cloud services from more than one public cloud provider to run their applications. By doing so, they can achieve various benefits such as:

• Compliance for use of specific geographies for data sovereignty laws: Some countries or regions may have regulations that require data to be stored or processed within their borders or jurisdictions. A multicloud strategy can help organizations comply with these laws by choosing cloud providers that have local presence or availability zones in the desired locations.
• Workload utilization of specific services: Different cloud providers may offer different types of services or features that suit different workloads or requirements better than others. A multicloud strategy can help organizations leverage the best-of-breed solutions from each provider for their specific needs, such as performance, scalability, security, or cost-effectiveness.

OCI Data Flow is the Lakehouse service that you should use for serverless Spark processing. According to the Oracle documentation, “Oracle Cloud Infrastructure Data Flow is a fully managed big data service that lets you run Apache Spark applications with no infrastructure to deploy or manage. Data Flow lets you create, run, and manage Apache Spark applications with minimal coding and no infrastructure provisioning or management.”

Object Storage (standard) is the OCI storage service that can be used to store application backups which can be stored for months, but retrieved immediately based on business needs. According to the Oracle documentation1, “Object Storage is a highly scalable, durable, and available cloud-based storage service that provides a cost-effective way to store and manage large amounts of unstructured data such as images, videos, and log files. Object Storage supports standard HTTP operations such as GET, PUT, and DELETE, as well as advanced features such as encryption, data replication, lifecycle policies, and pre-authenticated requests.” Object Storage (standard) offers high performance and low latency for frequent data access.