Choice log no. 1765743868 – 2026 Porshce 911 Turbo S
2026 is going to be my year!
Recent Updates
Choice log no. 1780071045 – Solitude
Sometimes being alone is all I need to know what I need to do and recenter my GPS.
Choice log no. 1779789468 – Sensory overload
Deer freeze in headlights because of a sensory overload and a natural survival instinct. As crepuscular animals (most active at dawn and dusk), their eyes are specially adapted to absorb maximum light. When hit with bright headlights in the dark, they are temporarily blinded and instinctually freeze to assess the threat.
Maybe why when I plan doing too much, I end up doing nothing at all.
Choice log no. 1779775474 – SMART Goal
I have been struggling to complete my studies for AI-900, and would like to complete the exam before the AI-900 expires in June 2026. So I looked up “How to create a SMART goal for AI-900”.
To create an effective SMART goal, focus on exact numbers and actionable steps. A strong goal is: “Complete the Microsoft Azure AI Fundamentals certification by studying 2 hours weekly, finishing all 8 core learning modules on Microsoft Learn, and passing the AI-900 exam with a score of 700 or higher by June 24, 2026.”
Break down your goal into the SMART criteria:
1. Specific
Define exactly what you will study. For the AI-900, your focus should be on:
- Machine Learning Principles: Supervised vs. unsupervised learning concepts.
- Workloads: Natural Language Processing (NLP), Computer Vision, and Conversational AI.
- Responsible AI: Principles such as fairness, transparency, and accountability.
- Microsoft Azure Services: Recognizing when to use tools like Azure AI Document Intelligence, Azure OpenAI, and Custom Vision.
2. Measurable
Track your progress to confirm you are prepared.
- Track hours studied (e.g., 2 to 3 hours per week for 3-4 weeks).
- Complete the Microsoft Azure AI Fundamentals Study Guide to monitor your module progress.
- Take practice tests until you can consistently score at least 85% to 90% before attempting the actual exam.
3. Achievable
The AI-900 is designed as a foundational entry-point, meaning you do not need a background in software engineering or data science to pass. You can make studying highly achievable by using free resources like the Microsoft Learn Training Paths, which align directly with the exam objectives.
4. Relevant
Confirm that this certification aligns with your career path. It is ideal if you are looking to step into cloud support, project coordination, technical sales, or business analysis where you need to understand AI capabilities without becoming a machine learning engineer.
5. Time-Bound
Schedule a hard deadline for your exam. The standard exam fee is $99 USD, which varies slightly by region and local sales tax.
- Register via Pearson VUE.
- Aim to complete your preparation within 15 to 20 hours of total study time. Set a deadline for 3–4 weeks from your start date.
Choice log no. 1779277244 – Fate
fate
/fāt/
Fate is the universal principle or predetermined power believed to control all events, making them inevitable. It also refers to the final outcome or condition that ultimately befalls a person or thing, which is often beyond their control.
Key Concepts
- Predetermined Path: The belief that human lives and history are decided in advance by a higher or supernatural power.
- Ultimate Outcome: The unavoidable end, whether positive or adverse (e.g., fortune, defeat, or death).
- Philosophical Contrast: Often debated against the concepts of free will and chance, raising the question of whether individuals hold control over their own lives.
Choice log no. 1779277183 – Run My Day
Placeholder to control what I do daily…
Choice log no. 1778481744 – PostgreSQL 18 Initial Configuration
Service account
Database cluster
Configuration files
Service Account – Dedicated operating system user that runs the server daemon. Always use a dedicated account. Limit access to PostgreSQL data.
- Items managed by the server
- Data files
- Configuration files
Should not own the executables or binaries.
- Prevents modification by the server process
- Avoids malicious activity if it’s compromised
Pre-packaged installations ensure a suitable user
Database Cluster – Collection of databases managed by one server, can be one or multiple databases. Initialize database storage with initdb.
Sets the “data directory”
- Data files
- Default for configuration files
initidb creates default databases
- postgres – primary default database. Good for utilites, users, and third-party applications to use, as the database is standard database that all expect to be there.
- Template1 is what the system copies when creating new database. Anything added to this database will be available in all new databases.
- Template0 – remains a clean default copy in case a new is needed that does not have the usual user modifications.
initdb also sets defaults, such as local, sort order, and encoding
Configuration Files – The primary method for configuring PostgreSQL is going to be configuration files. This is where a number of parameters that control the system behavior. Configuration parameters within these are not arbitrary text. The parameters do have defined data types and syntax rules. The values in these files can be overridden with SQL or the shell to provide temporary or user-specific modifications. Normally located in the “data directory” (this is configurable). There are multiple files. Some of the primary ones are postgresql.conf (primary source of configuration). There is also pg_hba.conf that contains client authentication rules and pg_indent.conf, which maps operating system users to PostgreSQL users.
Primary method to set parameters
- Defined data types and syntax rules
- Can be overwritten with SQL or the shell
- postgresql.conf
- pg_hba.conf
- pg_ident.conf
-
Normally located in the “data directory”.
Multiple files
Changes typically require a reload or service restart
Validate user:
id postgres
uid=110(postgres) gid=112(postgres) groups=112(postgres),110(ssl-cert)
Switch over to the user:
sudo -i -u postgres
Verify the default directory that was created using initdb:
psql -c “SHOW data_directory;”
psql -c “SHOW data_directory;”
data_directory
—————————–
/var/lib/postgresql/18/main
(1 row)
-TBC