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NEW QUESTION # 83
Who, and in which order, provisions dedicated Exadata Infrastructure resources?
Answer: D
Explanation:
Provisioning dedicated Exadata Infrastructure resources for Autonomous Database follows a strict hierarchical order, reflecting roles and dependencies. The correct sequence is:
The Fleet Administrator provisions the Autonomous Exadata Infrastructure and then the Autonomous Container DB and then, the Database Administrator provisions the Autonomous DB (A):
Fleet Administrator provisions Autonomous Exadata Infrastructure (AEI): The Fleet Admin, responsible for infrastructure management, starts by provisioning the AEI via the OCI console (e.g., "Create Autonomous Exadata Infrastructure"). This sets up the physical Exadata hardware, networking (e.g., VCN, subnets), and initial configuration (e.g., 2 racks, 4 nodes). For example, they might specify a compartment and region (e.g., us-ashburn-1), taking 1-2 hours for provisioning.
Fleet Administrator provisions Autonomous Container DB (ACD): Within the AEI, the Fleet Admin creates the ACD (e.g., "Create Autonomous Container Database"), a lightweight container hosting multiple ADBs. They set parameters like version (e.g., 19c) and maintenance windows (e.g., Sundays 02:00 UTC), ensuring the container is ready. This step might take 15-30 minutes.
Database Administrator provisions Autonomous DB (ADB): Finally, the DBA provisions individual ADBs within the ACD (e.g., "Create Autonomous Database"), choosing workload type (ATP/ADW), OCPUs (e.g., 4), and storage (e.g., 1 TB). For instance, they might create an ATP instance named PRODDB for a transactional app, completing setup in 5-10 minutes.
The incorrect options are:
B: The DBA can't provision the ACD or ADB before the AEI exists, as the infrastructure is foundational. The Fleet Admin must act first.
C: The DBA doesn't provision AEI-that's an infrastructure task beyond their scope. The Fleet Admin handles hardware setup.
D: The DBA can't provision the ACD; that's a Fleet Admin task within the AEI. Roles are distinct: Fleet Admin for infra, DBA for databases.
This order ensures proper infrastructure setup before database creation, aligning with OCI's role-based workflow.
NEW QUESTION # 84
Which of the following two statements regarding Data Transforms are correct? (Choose two.)
Answer: C,D
Explanation:
Data Transforms is a feature in Autonomous Database for designing data transformations. The two correct statements are:
Data Transforms allows you to design data transformations in the form of data loads, data flows, and workflows (B): True. Data Transforms provides a graphical interface to create data loads (importing data), data flows (transforming data), and workflows (sequencing operations), simplifying ETL processes within ADB.
All capabilities to transform data in ODI Classic are available with ODI Web Edition (D): True. Oracle Data Integrator (ODI) Web Edition, which integrates with Data Transforms, retains the full transformation capabilities of ODI Classic, adapted for a web-based interface.
The incorrect statements are:
Data Transforms provides access to Oracle Data Integrator (ODI) Web Edition (A): False. Data Transforms is a distinct tool within ADB; while it leverages ODI under the hood, it does not directly provide access to ODI Web Edition as a standalone product.
Workflows for Data Transforms are only available on the ODI Web Edition (C): False. Workflows are part of Data Transforms itself, not exclusive to ODI Web Edition.
These features enhance data integration in ADB.
NEW QUESTION # 85
Which of the following two statements are correct? (Choose two.)
Answer: B,C
Explanation:
Oracle Data Integrator (ODI) Web Edition integrates with Autonomous Database:
Correct Answer (B): "ODI Web Edition can be installed from Oracle Cloud Infrastructure (OCI) Marketplace" is true. It's offered as a Marketplace image for easy deployment on OCI compute instances.
Correct Answer (D): "All capabilities of ODI Classic are available with ODI Web Edition" is correct; the web version retains full functionality for data integration tasks.
Incorrect Options:
A: ODI Web Edition is not limited to Oracle Linux; it runs on various platforms supported by OCI.
C: The Data Transforms Card in Database Actions uses a simplified UI, not full ODI Web Edition access.
This enhances data integration flexibility in the cloud.
NEW QUESTION # 86
In which four ways can Oracle Database optimally access data in Object Storage? (Choose four.)
Answer: B,C,E,F
Explanation:
Oracle Database provides several techniques to optimize data access from Object Storage, particularly in the context of Autonomous Database, leveraging external tables and advanced storage formats. The question asks for four correct methods, and based on Oracle documentation, the following are the most applicable:
Correct Answer (A): Scan avoidance using partitioned external tables
Partitioned external tables allow Oracle Database to skip irrelevant partitions when querying data stored in Object Storage. By organizing data into partitions (e.g., by date or region), the database engine can prune partitions that don't match the query predicates, significantly reducing the amount of data scanned and improving performance. This is a well-documented optimization for external data access in Oracle Database and Autonomous Database environments.
Correct Answer (D): Scan avoidance using columnar pruning for columnar stores like parquet and orc Columnar pruning is a technique where only the required columns are read from columnar file formats such as Parquet or ORC stored in Object Storage. These formats store data column-wise, enabling the database to avoid scanning entire rows or irrelevant columns, which is particularly efficient for analytical queries common in Autonomous Data Warehouse (ADW). This is a standard optimization supported by Oracle's external table framework when accessing Object Storage.
Correct Answer (E): Optimized data archive using hybrid partitioned tables Hybrid partitioned tables combine local database partitions with external partitions stored in Object Storage. This allows older, less frequently accessed data to be archived efficiently in the cloud while remaining queryable alongside active data in the database. The database optimizes access by seamlessly integrating these partitions, reducing costs and improving archival efficiency. This feature is explicitly supported in Oracle Database and enhanced in Autonomous Database for data lifecycle management.
Correct Answer (F): Optimized data archive using partitioned external tables Similar to hybrid partitioned tables, using partitioned external tables alone optimizes data archiving by storing historical data in Object Storage with partitioning (e.g., by year). This method enables efficient querying of archived data by pruning unneeded partitions, offering a cost-effective and scalable archival solution. It's a distinct approach from hybrid tables, focusing solely on external storage, and is widely used in Oracle environments.
Incorrect Options:
B . Scan avoidance using columnar pruning for .csv files
CSV files are row-based, not columnar, and lack the internal structure of formats like Parquet or ORC. While Oracle can read CSVs from Object Storage via external tables, columnar pruning is not applicable because CSVs don't support column-wise storage or metadata for pruning. This makes this option incorrect as a specific optimization technique, though basic predicate pushdown might still reduce scanning to some extent.
C . Scan avoidance using block skipping when reading parquet and orc files Block skipping (or row group skipping) is a feature in some database systems where metadata in Parquet or ORC files allows skipping entire blocks of data based on query filters. While Oracle supports Parquet and ORC through external tables and can leverage their columnar nature (via pruning), "block skipping" is not explicitly highlighted as a primary optimization in Oracle's documentation for Autonomous Database. It's more commonly associated with systems like Apache Spark or Hive. Oracle's focus is on columnar pruning and partitioning, making this option less accurate in this context.
Why Four Answers?
The question specifies "four ways," and while six options are provided, A, D, E, and F are the most directly supported and documented methods in Oracle Autonomous Database for optimizing Object Storage access. Options B and C, while conceptually related to data access optimizations, are either inapplicable (CSV lacks columnar structure) or not explicitly emphasized (block skipping) in Oracle's feature set for this purpose.
This selection aligns with Oracle's focus on partitioning and columnar formats for efficient cloud data access, ensuring both performance and archival optimization.
Reference:
External Tables and Object Storage
Hybrid Partitioned Tables
Autonomous Database Data Loading
NEW QUESTION # 87
Which stage of the indexing pipeline divides text into tokens?
Answer: B
Explanation:
The indexing pipeline in Oracle Text processes text for search:
Correct Answer (D): "Lexer" divides text into tokens (words, symbols) based on language rules and settings (e.g., whitespace, punctuation). It's the stage responsible for tokenization in Oracle's text indexing process.
Incorrect Options:
A: Sectioner identifies document sections (e.g., headers), not tokens.
B: Tokenizer is a generic term, but in Oracle Text, "Lexer" is the specific component.
C: Filter preprocesses text (e.g., removing stopwords), post-tokenization.
This step enables efficient text search capabilities.
NEW QUESTION # 88
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