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Test Number : 1Z0-066
Test Name : Oracle Database 12c: Data Guard Administration
Vendor Name : Oracle
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Exam Title : Oracle Database 12c - Data Guard Administration
Exam ID : 1Z0-066
Exam Duration : 150 minutes
Questions in test : 92
Passing Score : 61%
Format : Multiple Choice Questions
Exam Center : Pearson VUE
Real Questions : Oracle Certified Expert Oracle Database 12c Data Guard Administrator (OCE)
Recommended Practice : 1Z0-066 Online VCE Practice Test

Oracle Data Guard Basics - Describe the Architecture of Oracle Data Guard
- Explain the applicability between physical and logical standby and snapshot databases
- Explain the benefits of implementing Oracle Data Guard
- Explain Data Guard use with the Oracle Multi-tennant databases Managing Oracle Net Services in a Data Guard Environment - Configure client connectivity in a Data Guard configuration
- Implement failover procedures to automatically redirect clients to a new primary database
- Using Application Continuity in a Data Guard Environment Using Oracle Active Data Guard - Use Real-time Query to access data on a physical standby database
- Enable RMAN block change tracking for a physical standby database
- Use Far Sync to extend zero data loss protection for intercontinental configurations
- Using Temporary Undo. Global Sequences and Session Sequences
- Using Automatic Block Media Recovery
- Configure Real-Time Cascading Creating a Logical Standby Database - Determine when to create a logical standby database
- Create a logical standby database
- Manage SQL Apply filtering Creating a Data Guard Broker Configuration - Create a Data Guard broker configuration
- Manage the Data Guard broker configuration Configuring Data Protection Modes - Describe the data protection modes
- Change the data protection mode of your configuration Using Flashback Database in a Data Guard Configuration - Configure Flashback Database
- Explain the advantages of using Flashback Database in a Data Guard configuration Backup and Recovery Considerations in an Oracle Data Guard Configuration - Use Recovery Manager (RMAN) to back up and restore files in a Data Guard configuration
- Offload backups to a physical standby database
- Recovering databases in a Data Guard Environment
- Managing Archive Redo Logs in a Data Guard Environment Optimizing a Data Guard Configuration - Monitor configuration performance
- Optimize redo transport for best performance
- Optimize SQL Apply Creating a Physical Standby Database by Using Enterprise Manager Cloud Control - Create a Data Guard broker configuration
- Create a physical standby database
- Verify a Data Guard configuration
- Edit database properties related to Data Guard
- Test a Data Guard configuration Creating a Physical Standby Database by Using SQL and RMAN Commands - Configure the primary database and Oracle Net Services to support the creation of the physical standby database and role transition
- Create a physical standby database by using the DUPLICATE TARGET DATABASE FOR STANDBY FROM ACTIVE DATABASE RMAN command Creating and Managing a Snapshot Standby Database - Create a snapshot standby database to meet the requirement for a temporary, updatable snapshot of a physical standby database
- Convert a snapshot standby database back to a physical standby database Oracle Data Guard Broker Basics - Describe the Data Guard broker architecture
- Describe the Data Guard broker components
- Explain the benefits of the Data Guard broker
- Describe Data Guard broker configurations Monitoring a Data Guard Broker Configuration - Use Enterprise Manager to manage your Data Guard configuration
- Invoke DGMGRL to manage your Data Guard configuration Performing Role Transitions - Explain the database roles
- Perform a switchover
- Perform a failover Enabling Fast-Start Failover - Configure fast-start failover
- View information about the fast-start failover configuration
- Manage the observer
- Perform role changes in a fast-start failover configuration
- Manually reinstate the primary database Patching and Upgrading Databases in a Data Guard Configuration - Patch and upgrade databases using traditional patch methods
- Perform rolling upgrades



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Oracle Extends Database leadership with Oracle Database 21c | 1Z0-066 test Questions and test Questions

Oracle nowadays introduced that Oracle Database 21c, the existing edition of the area’s leading converged database, is purchasable on Oracle Cloud, including the always Free tier of Oracle self sufficient Database. Oracle Database 21c contains greater than 200 new innovations, together with immutable blockchain tables, In-Database JavaScript, native JSON binary records category, AutoML for in-database computer getting to know (ML), and persistent memory store, in addition to enhancements for in-memory, graph processing performance, sharding, multitenant, and safety. unlike other providers’ single-goal databases within the cloud or on-premises, Oracle Database 21c gives guide for multi-model, multi-workload, and multi-tenant requirements – all within a single, contemporary converged database engine. moreover, Oracle these days introduced the provision of Oracle APEX (utility express) software building, a brand new low-code service for setting up and deploying statistics-pushed business purposes directly and easily. The browser-based mostly, low-code cloud service allows developers to create up to date internet apps for computers and cellular contraptions using an intuitive graphical interface.

“Oracle Database 21c continues their method of supplying the world’s strongest converged database engine,” said Andrew Mendelsohn, govt vice chairman, database server technologies, Oracle. “It provides leading JSON doc processing performance. It offers step forward operational database performance with Intel® Optane™ Persistent reminiscence support. It provides business-leading analytic database capabilities with new Self-Managing In-reminiscence Column shop, maximum performance graph processing, and AutoML for least difficult machine gaining knowledge of model development. It gives Immutable Blockchain Tables for tamperproof SQL tables. Competing companies require separate JSON doc, operational, analytic, graph, ML, and blockchain databases and functions to assist these capabilities. Oracle’s converged database strategy makes developers way more productive when constructing new functions, and makes it effortless to later evolve functions to fulfill new company requirements.”

  What Analysts are saying about Oracle Database

“With the launch of Database 21c, Oracle has improved its flagship database to a new degree of convergence with huge aid for a wide selection of statistics forms and workloads,” observed Carl Olofson, analysis vice chairman, statistics management application, IDC. “The 200 new developed-in improvements, including immutable blockchain tables and AutoML for in-database machine learning, bring up Oracle Database 21c to a brand new degree of performance, disposing of the need for specialised, remoted cloud services and tools to do these jobs. clients can prevent the compounding of prices and operational complexity that incorporates every further cloud carrier that agencies typically use. during this approach, Oracle is with ease slicing away at this disjointed set of functions with a simplified, more technically stylish, and built-in method that is far superior perfect for the business needs of 2021.”

“Oracle’s latest converged database—Database 21c—makes a speciality of making life dramatically less difficult for both users and developers. It supports and integrates an improved range of information fashions and workloads, and comprises developed-in computing device learning to eliminate the need for separate tooling and functions with the aid of enabling companies to run inference without delay on their database, right next to their statistics. this is a refreshing contrast for corporations that leverage the likes of AWS, which has more than a dozen distinctive databases, each requiring valued clientele to contend with different APIs, ETL strategies and statistics integration approaches. Oracle Database 21c transcends the barriers of a multi, isolated, and intrinsically non-converged, database approach,” observed Mark Peters, important Analyst & observe Director, ESG.

  What customers are saying about Oracle Database

Headquartered in London, Aon is a US$46B international professional capabilities enterprise offering a huge range of chance, retirement and health solutions. “We’ve on no account been capable of see all of their Oracle income and advertising records in one, unified equipment. It’s a true milestone. the usage of Oracle self sustaining information Warehouse and Oracle Analytics Cloud, we’ve viewed performance boosted by 50X to 60X that makes response times to complicated earnings queries from 500 vigor clients lots faster and analytics expenses are significantly lessen than their on-premises business intelligence equipment,” referred to Liesbeth Mulder, world Reporting Lead, Aon.

Angelini Pharma is without doubt one of the largest pharmaceutical organizations in Italy. “The Quinaryo XRing answer has been a crucial step forward in their IoT approach to experiment with a wearable equipment built-in with a knowledge protection device in line with a blockchain desk answer,” observed Pietro Berretoni, Digital & Innovation Head, Angelini Pharma. “With Oracle Blockchain Tables, the solution offers tamper-proof facts that may effectively integrate with other purposes with out requiring a complex new infrastructure. Oracle Database comprises all of the equipment they comprehend and new elements like Oracle Blockchain Tables that they can leverage with XRing for sensible statistics assortment.”

  New improvements in Oracle Database 21c

Oracle Database 21c is the database engine that powers Oracle database functions within the cloud and on-premises, including Oracle self sufficient Database, Oracle Exadata Database carrier, Oracle Exadata Database Cloud@customer, and Oracle Exadata Database machine. The existing liberate includes more than 200 new innovations, which lengthen database convergence to new use cases, optimize efficiency, and enrich developer, analyst, and data scientist productivity. Key improvements include:

  • Immutable Blockchain Tables: Blockchain Tables deliver the key safety benefits of blockchain expertise to enterprise functions. part of Oracle’s Crypto-relaxed data management, Blockchain Tables deliver immutable insert-simplest tables whose rows are cryptographically chained together. with the aid of offering tamper detection and prevention capabilities without delay within the Oracle Database, valued clientele can protect against illicit alterations by using insiders or hackers impersonating directors or clients. Blockchain Tables are a part of the converged database, accessed with common SQL, and aid full analytics and transactions—making it orders of magnitude less demanding to make use of, and greater practical, than current blockchain implementations. Blockchain Tables are a free function in all Oracle Database versions.
  • Native JSON records class: Oracle has offered powerful SQL/JSON query and indexing guide for a long time. Database 21c adds a new JSON statistics category representation, enabling up to 10x faster scans and up to 4x faster replace operations. typical, these improvements make Oracle SQL/JSON 2x sooner than MongoDB and AWS DocumentDB on the YCSB benchmark. As with old releases, clients can mix or be a part of JSON and other facts types; index any JSON element for speedy OLTP; use declarative parallel SQL analytics throughout all formats; and run advanced joins across distinct JSON documents and collections—all with none want for customized software code.
  • AutoML for In-Database computer studying: instantly builds and compares computing device-learning fashions at scale, and enables the use of machine getting to know by non-experts. a new AutoML person interface makes it simpler for non-knowledgeable users to leverage in-database laptop studying. Oracle also added new algorithms for anomaly detection, regression, and deep getting to know evaluation to their extensive library of common, in-database desktop studying algorithms.
  • In-Database JavaScript: allows for developers to work efficiently in up to date programming languages. The embedded Graal Multilingual Engine allows JavaScript facts processing code to run inner the database – where the information resides – casting off expensive network circular-journeys. additionally, users can without difficulty execute SQL from within JavaScript code, and JavaScript facts kinds are immediately mapped to Oracle Database information.
  • Persistent reminiscence assist: shops database statistics and redo logs in native Persistent memory (PMEM), which enormously improves the efficiency of IO-bound workloads. SQL runs without delay on records kept within the direct-mapped Persistent reminiscence file system, doing away with the IO code route and the need for gigantic buffer cache. moreover, new database algorithms keep away from partial or inconsistent stores to Persistent memory.
  • bigger efficiency Graph models: enables modelling of data in keeping with relationships, and makes it possible for exploration of connections and patterns in social networks, IoT, and greater. additional advancements in reminiscence optimization in the reduction of the volume of memory required to investigate better graphs, which makes it possible for existing functions to run faster and not using a alterations. additionally, users can create or lengthen graph algorithms using Java syntax, which could execute as native algorithms for the reason that they're compiled with the equal optimizations.
  • Database In-reminiscence Automation: Oracle supports each row and column codecs within the identical table to permit analytics and transactions to run simultaneously on the equal desk. Oracle Database 21c introduces a Self-Managing In-reminiscence Column shop that simplifies and improves efficiency by using immediately managing the placement and removing of objects in the In-reminiscence Column shop, then tracks usage patterns and strikes and evicts objects from the column keep. furthermore, columns are instantly compressed in line with utilization patterns. Oracle Database 21c additionally introduces new in-memory vector join algorithms to pace up complex queries.
  • Sharding Automation: Native Database Sharding can provide hyperscale performance and availability whereas enabling international firms to comfortably meet information sovereignty and data privacy rules. statistics shards share no hardware or application, and might stay on-premises or within the cloud. To simplify the design and use of sharding, Oracle Database 21c comprises a Sharding advisor device that assesses a database schema plus its workload qualities after which provides a sharded database design optimized for efficiency, scalability, and availability. Backup and healing across shards is additionally automated.
  • Hear what shoppers, partners, and analysts are saying in regards to the new Oracle Database 21c.

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