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PostgreSQL CE is a certification exam for PostgreSQL engineers who are involved in system development, administration, maintenance, etc.

The first English version of PostgreSQL was released on March, 2005, and was based on PostgreSQL 7.4. The latest exam to be released this time will be based on PostgreSQL 8.0, which includes PITR, Tablespace and so on.

The exam can be taken at the Peason VUE testing center nearest to you. Please visit Pearson VUE web site for details.

PostgreSQL is a powerful, open source object-relational database system that uses and extends the SQL language combined with many features that safely store and scale the most complicated data workloads. The origins of PostgreSQL date back to 1986 as part of the POSTGRES project at the University of California at Berkeley and has more than 30 years of active development on the core platform.

PostgreSQL has earned a strong reputation for its proven architecture, reliability, data integrity, robust feature set, extensibility, and the dedication of the open source community behind the software to consistently deliver performant and innovative solutions. PostgreSQL runs on all major operating systems, has been ACID-compliant since 2001, and has powerful add-ons such as the popular PostGIS geospatial database extender. It is no surprise that PostgreSQL has become the open source relational database of choice for many people and organisations.

PostgreSQL comes with many features aimed to help developers build applications, administrators to protect data integrity and build fault-tolerant environments, and help you manage your data no matter how big or small the dataset. In addition to being free and open source, PostgreSQL is highly extensible. For example, you can define your own data types, build out custom functions, even write code from different programming languages without recompiling your database!

PostgreSQL tries to conform with the SQL standard where such conformance does not contradict traditional features or could lead to poor architectural decisions. Many of the features required by the SQL standard are supported, though sometimes with slightly differing syntax or function. Further moves towards conformance can be expected over time. As of the version 12 release in October 2019, PostgreSQL conforms to at least 160 of the 179 mandatory features for SQL:2016 Core conformance. As of this writing, no relational database meets full conformance with this standard.

Below is an inexhaustive list of various features found in PostgreSQL, with more being added in every major release:

Data Types
Primitives: Integer, Numeric, String, Boolean
Structured: Date/Time, Array, Range, UUID
Document: JSON/JSONB, XML, Key-value (Hstore)
Geometry: Point, Line, Circle, Polygon
Customizations: Composite, Custom Types
Data Integrity
UNIQUE, NOT NULL
Primary Keys
Foreign Keys
Exclusion Constraints
Explicit Locks, Advisory Locks
Concurrency, Performance
Indexing: B-tree, Multicolumn, Expressions, Partial
Advanced Indexing: GiST, SP-Gist, KNN Gist, GIN, BRIN, Covering indexes, Bloom filters
Sophisticated query planner / optimizer, index-only scans, multicolumn statistics
Transactions, Nested Transactions (via savepoints)
Multi-Version concurrency Control (MVCC)
Parallelization of read queries and building B-tree indexes
Table partitioning
All transaction isolation levels defined in the SQL standard, including Serializable
Just-in-time (JIT) compilation of expressions
Reliability, Disaster Recovery
Write-ahead Logging (WAL)
Replication: Asynchronous, Synchronous, Logical
Point-in-time-recovery (PITR), active standbys
Tablespaces
Security
Authentication: GSSAPI, SSPI, LDAP, SCRAM-SHA-256, Certificate, and more
Robust access-control system
Column and row-level security
Multi-factor authentication with certificates and an additional method
Extensibility
Stored functions and procedures
Procedural Languages: PL/PGSQL, Perl, Python (and many more)
SQL/JSON path expressions
Foreign data wrappers: connect to other databases or streams with a standard SQL interface
Customizable storage interface for tables
Many extensions that provide additional functionality, including PostGIS
Internationalisation, Text Search
Support for international character sets, e.g. through ICU collations
Case-insensitive and accent-insensitive collations
Full-text search

Backend
Data Types, Functions, & Operators
Indexing & Constraints
SQL
Data Definition Language (DDL)
Performance
Partitioning & Inheritance
Views & Materialized Views
Backup, Restore, Data Integrity, & Replication
Data Import & Export
Configuration Management
Security
Foreign Data Wrappers
Custom Functions, Stored Procedures, & Triggers
Procedural Languages
Extensions
Internationalisation
Additional Modules (contrib)
Network
Platforms