Oracle 1Z0-1128-24 Certification: Your Path to Oracle Fusion Data Intelligence Success
The Oracle 1Z0-1128-24 certification is a key credential for professionals aiming to become experts in Oracle Fusion Cloud technology, specifically in Data Intelligence. It focuses on mastering Oracle Fusion Data Intelligence 2024 solutions and prepares candidates to excel in the growing Oracle ecosystem.
Overview of the Oracle 1Z0-1128-24 Exam
The 1Z0-1128-24 certification exam, officially called the Oracle Fusion Data Intelligence 2024 Implementation Professional exam, tests your ability to design, implement, and improve data intelligence solutions using Oracle Fusion Cloud. This certification is ideal for professionals who want to specialize in areas like data integration, analytics, and creating smart workflows within Oracle Fusion applications.
As companies increasingly rely on data to drive decisions, having this certification proves you can tackle real-world challenges and deliver valuable insights, making you a valuable asset in any organization.
Key Skills Tested in the 1Z0-1128-24 Exam
The Oracle 1Z0-1128-24 exam evaluates skills that are essential for working with Oracle Fusion Data Intelligence, such as:
- Data Integration and Management: Learning how to connect and manage data from different sources within Oracle Fusion Cloud.
- Data Analytics Implementation: Developing workflows that analyze data and produce actionable insights.
- Performance Optimization: Ensuring data processes are efficient and perform at their best.
- Solution Customization: Adapting Oracle Fusion tools to meet specific business needs.
These skills require both technical knowledge and practical experience, ensuring candidates are well-prepared to implement Oracle Fusion solutions.
Career Advantages of Oracle 1Z0-1128-24 Certification
Earning the Oracle 1Z0-1128-24 certification opens doors to exciting career opportunities. Certified professionals are recognized as experts in Oracle Fusion Data Intelligence and are in high demand across industries.
Some key benefits include:
- Higher Salaries: Employers value specialized skills, often offering higher pay to certified professionals.
- Improved Job Prospects: Roles such as Oracle Fusion Data Intelligence Specialist, Implementation Consultant, or Data Analyst become more accessible.
- Global Recognition: Oracle certifications are respected worldwide, giving you credibility and career flexibility.
Why Use Updated Exam Dumps to Prepare?
Preparing for the Oracle 1Z0-1128-24 exam requires reliable and current study materials. Updated exam dumps can provide realistic questions and scenarios similar to those on the actual test. These materials help you understand the exam format, identify areas to improve, and study more effectively.
For trusted preparation resources, check out DumpsLink, which offers study materials designed to help you succeed on your first attempt.
By earning the Oracle 1Z0-1128-24 certification, you’ll gain the skills and knowledge needed to become a leader in Oracle Fusion Data Intelligence, opening the door to a bright and rewarding career.
1Z0-1128-24 Sample Exam Questions and Answers
| QUESTION: 1 |
| What could be the reason for a Data Flow Activity extracting data for all regions despite defining a Global Parameter named “REGION_CODE” to filter customers based on a specific region? Option A: The Data Flow Activity is not configured to use the “Override Context” option. Option B: The Script Transformation used for filtering references an incorrect variable name. Option C: Global Parameters are not applicable to Data Flow Activities and only work with Script Transformations. Option D: The “REGION_CODE” parameter value has not been assigned in the pipeline configuration. |
| Correct Answer: A |
| Explanation/Reference: a. The Data Flow Activity is not configured to use the “Override Context” option. This option allows you to pass values from the parent job to the child Data Flow Activity, including Global Parameters. If this option is not selected, the Data Flow Activity will use its default context settings, ignoring the Global Parameter. To resolve this issue, ensure that the “Override Context” option is checked in the Data Flow Activity properties, and the “REGION_CODE” parameter is correctly mapped to the appropriate filter in the data flow. |
| QUESTION: 2 |
| Which Oracle Fusion Data Intelligence solution can ingest and transform data from various sources before feeding it into analytics tools? Option A: Oracle Autonomous Database Option B: Oracle Data Integrator (ODI) in Oracle Cloud Infrastructure (OCI) Option C: Oracle GoldenGate Option D: Oracle Data Visualization (ODV) Desktop |
| Correct Answer: B |
| Explanation/Reference: B. Oracle Data Integrator (ODI) in Oracle Cloud Infrastructure (OCI). Oracle Data Integrator (ODI) is a powerful ETL (Extract, Transform, Load) tool that can ingest data from various sources, including databases, files, and APIs. It then transforms the data according to specific business requirements, cleaning, filtering, and aggregating it as needed. Finally, ODI loads the transformed data into target systems, such as data warehouses or data marts, where it can be used for analytics and reporting. Here’s a brief overview of the other options: A. Oracle Autonomous Database: While a powerful database solution, it’s primarily for storing and managing data, not for data ingestion and transformation. C. Oracle GoldenGate: A data replication tool designed for real-time data replication between databases. It’s not primarily used for data ingestion and transformation. D. Oracle Data Visualization (ODV) Desktop: A data visualization tool used to create dashboards and reports. It doesn’t handle data ingestion and transformation. |
| QUESTION: 3 |
| Which of the following deployment options is NOT available for Oracle Fusion Data Intelligence? Option A: Single-tenant deployment with dedicated resources. Option B: Multi-tenant deployment within a shared Oracle Cloud environment Option C: On-premises deployment with a local software installation. Option D: Hybrid deployment combining on-premises and cloud resources. |
| Correct Answer: C |
| Explanation/Reference: C. On-premises deployment with a local software installation. Oracle Fusion Data Intelligence is a cloud-based service, meaning it is primarily designed to run on Oracle Cloud Infrastructure (OCI). It does not offer an on-premises deployment option. Here are the available deployment options for Oracle Fusion Data Intelligence: Single-tenant deployment: This provides dedicated resources for a specific organization, ensuring isolation and security. Multi-tenant deployment: This allows multiple organizations to share a common Oracle Cloud environment, reducing costs and resource utilization. Hybrid deployment: This combines on-premises and cloud resources to create a flexible and scalable solution. |
| QUESTION: 4 |
| What is the primary purpose of activating the Oracle Fusion Analytics Warehouse (FAW) service before integrating FDI? Option A: To provide a dedicated data warehouse for storing historical HCM data accessed by FDI. Option B: To enable real-time data access and analysis for the connected Fusion HCM application. Option C: To configure pre-built dashboards and reports for HCM data visualization within FDI. Option D: To define data lineage and track the flow of HCM data between applications. |
| Correct Answer: A |
| Explanation/Reference: To provide a dedicated data warehouse for storing historical HCM data accessed by FDI. FAW serves as a centralized repository for historical data from various sources, including HCM. It provides a consolidated view of historical data, enabling FDI to perform in-depth analysis and trend analysis. Here’s a breakdown of the other options: To enable real-time data access and analysis for the connected Fusion HCM application: While FAW can store historical data, it’s not primarily designed for real-time data access.To configure pre-built dashboards and reports for HCM data visualization within FDI: While FAW can provide data for pre-built dashboards and reports, it’s not directly responsible for configuring them.To define data lineage and track the flow of HCM data between applications: While FAW can be used to track data lineage, it’s not its primary purpose. |
| QUESTION: 5 |
| An organization wants to enforce password complexity for FDI users. Which of the following configurations achieves this goal? Option A: Enable password history in Oracle Identity Cloud Service (IDCS) for the FDI user federation. Option B: Configure password expiry for FDI users within the FDI console. Option C: Utilize Oracle Security Assertion Markup Language (SAML) to enforce password complexity during login. Option D: Leverage pre-built security policies within the FDI application for password complexity. |
| Correct Answer: A |
| Explanation/Reference: a) Enable password history in Oracle Identity Cloud Service (IDCS) for the FDI user federation. Here’s a breakdown of why this is the best choice: IDCS provides centralized password policy management: It allows you to set strong password policies, including minimum length, character complexity, and password history. Enhanced security: By enforcing password history, you can prevent users from reusing old passwords, which can significantly improve security. Centralized control: IDCS provides a centralized platform to manage password policies for all your cloud applications, including FDI. While options b), c), and d) can provide some level of security, they are either limited in scope or less effective than using IDCS. For example: Option b): Configuring password expiry within the FDI console only addresses password expiration, not complexity. Option c): SAML can enforce password complexity during login, but it relies on the identity provider’s configuration, which might not be as flexible as IDCS. Option d): Pre-built security policies within the FDI application might not provide the level of customization and control needed to enforce strong password complexity. |
| QUESTION: 6 |
| Which of the following OCI resources is NOT a mandatory prerequisite for deploying an Oracle Fusion Data Intelligence (FDI) instance? Option A: A virtual cloud network (VCN) with public and private subnets. Option B: An Object Storage bucket configured for data loading. Option C: A dedicated Oracle Database instance for data storage. Option D: An Identity and Access Management (IAM) service for user authentication. |
| Correct Answer: C |
| Explanation/Reference: C. A dedicated Oracle Database instance for data storage. While an Oracle Database instance can be used as a data source for FDI, it’s not a mandatory prerequisite. FDI can leverage various data sources, including other databases, data warehouses, and object storage buckets. Here are the mandatory resources: A virtual cloud network (VCN) with public and private subnets: This provides the network infrastructure for FDI to communicate with other services and the internet. An Object Storage bucket configured for data loading: This is used to store data files, such as CSV, Parquet, or Avro files. An Identity and Access Management (IAM) service for user authentication: This is necessary to control access to the FDI instance and its resources. |
| QUESTION: 7 |
| Which of the following options allows for single sign-on (SSO) functionality for a seamless user experience when configuring an FDI instance for user access? Option A: Enabling local user authentication within the FDI instance. Option B: Integrating with a third-party identity provider (IdP) for SSO. Option C: Utilizing pre-defined user roles provided by the cloud platform. Option D: Implementing role-based access control (RBAC) for individual user accounts. |
| Correct Answer: B |
| Explanation/Reference: Overall explanation B. Integrating with a third-party identity provider (IdP) for SSO. Integrating with a third-party IdP enables seamless SSO for users, allowing them to access the FDI instance using their existing credentials from a centralized identity provider. This eliminates the need for users to remember multiple passwords and improves security. |
| QUESTION: 8 |
| Which of the following options would be the MOST efficient approach for bulk data loading in an FDI environment? Option A: Utilize the user interface (UI) within Data Integrator to manually upload data files one at a time. Option B: Leverage Oracle Data Loader (SQL*Loader) to perform high-performance bulk data uploads from the source system. Option C: Configure incremental mappings within Data Integrator to capture and process changes in the historical data. Option D: Utilize Oracle Object Storage File Transfer to securely transfer the data files to the FDI environment. |
| Correct Answer: B |
| Explanation/Reference: B. Leverage Oracle Data Loader (SQL*Loader) to perform high-performance bulk data loads from the source system. SQL*Loader is specifically designed for high-performance bulk data loading into Oracle databases, making it the most efficient approach for large data volumes. It offers parallel processing, direct path loading, and other optimizations to significantly improve load times. Here’s why the other options might not be as efficient: A. Manual data upload: This is a time-consuming and error-prone process, especially for large datasets. C. Incremental mappings: While incremental mappings are useful for capturing changes in real-time, they are not optimized for initial bulk data loads. D. Object Storage File Transfer: This is a secure method for transferring data files, but it’s not directly related to the efficiency of the bulk loading process. |
| QUESTION: 9 |
| Which of the following options represents the MOST reliable and efficient approach for implementing abackup and recovery strategy for a production FDI instance? Option A: Manually exporting data periodically and storing it in an on-premise location. Option B: Leveraging Oracle Cloud Infrastructure (OCI) Object Storage for periodic backups. Option C: Utilizing FDI’s built-in incremental upload functionality for disaster recovery. Option D: Configuring scheduled backups to a dedicated Autonomous Database instance. |
| Correct Answer: B |
| Explanation/Reference: B. Leveraging Oracle Cloud Infrastructure (OCI) Object Storage for periodic backups. OCI Object Storage provides a highly durable and scalable solution for storing backups of your FDI instance. By leveraging this service, you can: Automate backups: Schedule regular backups to ensure data consistency. Securely store backups: Object Storage offers robust security features to protect your data. Efficiently restore data: Quickly restore data from backups in case of failures or data loss. Cost-effectively store backups: Object Storage offers cost-effective storage options for long-term data retention. Here’s a breakdown of the other options: A. Manually exporting data periodically and storing it in an on-premise location: Manual backups are prone to human error and can be time-consuming. Additionally, storing backups on-premises may not be as secure or reliable as cloud-based storage. C. Utilizing FDI’s built-in incremental upload functionality for disaster recovery: While incremental uploads can be useful for updating data, they are not a comprehensive backup solution. They may not capture all necessary data, such as configuration settings and metadata. D. Configuring scheduled backups to a dedicated Autonomous Database instance: While this approach can be effective, it may require additional management and configuration. Object Storage offers a simpler and more scalable solution for backup and recovery. |
| QUESTION: 10 |
| What should be the NEXT troubleshooting step if data is not flowing into the FDI platform after successfully establishing connections with Fusion Applications? Option A: Reviewing and verifying data collection licenses within the connected Fusion Applications. Option B: Reconfiguring user roles and permissions for data access within the FDI platform. Option C: Analyzing system logs for any error messages related to data extraction or transfer. Option D: Uploading historical data files directly into the Object Storage bucket used by FDI. |
| Correct Answer: C |
| Explanation/Reference: C. Analyzing system logs for any error messages related to data extraction or transfer. Before taking any drastic measures, it’s crucial to investigate the root cause of the issue. Analyzing system logs will provide valuable insights into any errors or exceptions that may have occurred during data extraction or transfer. Common issues to look for include: Connection errors: Problems with network connectivity or authentication issues. Data extraction errors: Issues with SQL queries or data extraction scripts. Data transformation errors: Errors during data cleansing, filtering, or aggregation. Data load errors: Problems with loading data into the FDI data warehouse. By identifying the root cause, you can take appropriate corrective actions, such as: Adjusting data extraction queries: Modify queries to extract the correct data. Resolving network connectivity issues: Fix any network or firewall problems. Correcting data transformation logic: Modify transformation rules to ensure data accuracy. Troubleshooting data load issues: Check for disk space issues, database errors, or other factors affecting data loading. |