VMware 2V0-13.25 is the current VMware Cloud Foundation 9.0 Architect exam that leads to the VMware Certified Professional – VMware Cloud Foundation Architect certification. Broadcom’s current certification catalog continues to list it in the VMware Cloud Foundation career track. The official exam guide was last updated August 15, 2025 and states that the content is […]

Hands-on MLA-C01 practice is still valuable even during the MLA-C02 transition because the traditional ML-engineering lifecycle remains foundational. The most useful lab takes one dataset from ingestion through feature engineering, model training, deployment, monitoring, and security. English candidates should map the same lab onto MLA-C02, while candidates still taking C01 in Japanese, Korean, or Simplified […]

MLA-C01 needs special handling in October 2026 because the English exam ended September 28 while Japanese, Korean, and Simplified Chinese continue during the MLA-C02 beta period. If you are preparing in English, switch to MLA-C02. If you are still eligible for MLA-C01 in one of the remaining languages, the sequence below follows the C01 blueprint […]

MLA-C01 is no longer the live English exam after September 28, 2026, but its architecture remains useful for understanding AWS machine-learning engineering. The C01 blueprint is built around one lifecycle: data is ingested and prepared, features are engineered, a model is selected and trained, deployment infrastructure is created, the workflow is automated, and the production […]

MLA-C01 is now in transition rather than being the current English exam. AWS ended English delivery of MLA-C01 on September 28, 2026, and opened the English-only MLA-C02 beta on September 29. MLA-C01 continues in Japanese, Korean, and Simplified Chinese during the beta period until MLA-C02 reaches general availability. That distinction matters for anyone using an […]

The current Data Engineer Associate exam explicitly includes troubleshooting, monitoring, and optimization because production data engineering is defined as much by recovery as by successful development. The right troubleshooting method starts with the first stage where actual behavior differs from the expected pipeline state: source, ingestion, transformation, job graph, compute, dependency, deployment, or governance. The […]

The current Databricks Certified Data Engineer Associate exam is much easier to reason about when its objectives are grouped around a few durable engineering concepts. The May 4, 2026 guide spans platform architecture, ingestion, transformation, Lakeflow Jobs, CI/CD, troubleshooting, optimization, and Unity Catalog governance. Those sections are not separate products; they are stages and control […]

The May 2026 Data Engineer Associate exam is built around practical choices across ingestion, transformation, orchestration, CI/CD, performance, and governance. The strongest answer is usually the one that fits the source, workload, state, and ownership requirements without adding unnecessary complexity. The scenarios below stay inside the current Data Engineer Associate guide. They are not claims […]

Hands-on Data Engineer Associate preparation should use one small source and evolve it into a governed production-style pipeline. The current May 2026 exam expects ingestion, PySpark or SQL transformation, Lakeflow Jobs, CI/CD, troubleshooting, optimization, and Unity Catalog security. A single end-to-end lab is the best way to make those dependencies visible. Use the current Data […]

The May 2026 Data Engineer Associate exam is broader than older versions, so the study order should follow the current production workflow. Start with the Data Intelligence Platform and compute, then ingestion, Medallion transformations, Lakeflow Jobs, CI/CD, troubleshooting, and Unity Catalog governance. This sequence turns a long objective list into one pipeline that can be […]

The current Data Engineer Associate exam is easiest to remember as one production pipeline. A source is selected and ingested. Bronze, Silver, and Gold data is transformed with SQL or PySpark. Lakeflow Jobs orchestrates tasks and triggers. Git and Declarative Automation Bundles move the workload across environments. Monitoring and Spark UI expose failures and bottlenecks. […]

The Databricks Certified Data Engineer Associate exam changed materially on May 4, 2026. The current first-party guide now tests a broader foundational engineering workflow: the Data Intelligence Platform, ingestion and loading, transformation and modeling, Lakeflow Jobs, CI/CD, troubleshooting and optimization, and Unity Catalog governance and security. Older outlines that focus mostly on notebooks and basic […]

DP-600 troubleshooting works best when the analyst starts from the first layer where observed behavior differs from the design. A slow report can be caused by SQL, KQL, Direct Lake, DAX, or visuals. A security complaint can originate in workspace permissions, item access, RLS, OLS, column security, or file permissions. Randomly changing the semantic model […]

DP-600 covers a wide Fabric surface, but the durable skills are a smaller set of concepts: ownership, grain, engine choice, reusable business logic, layered security, deployment lifecycle, dependency impact, storage mode, freshness, and evidence-driven performance. These concepts connect the three weighted exam domains and remain useful even as specific Fabric features evolve. The current DP-600 […]

DP-600 scenarios are mostly about deciding where a responsibility belongs. Data can be transformed in the lakehouse, warehouse, or semantic model. Security can be applied at workspace, item, model, column, object, or file level. Performance can fail in SQL, KQL, Direct Lake, DAX, or a visual. The strongest answer usually places the control in the […]