[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"me":3,"catalog:tr:data-engineer\u002Fwh-snowflake-compute-warehouses":4,"config":191},null,{"field_key":5,"field_name":6,"seniority":7,"topic_key":8,"topic_name":9,"spec_key":7,"spec_name":7,"locale":10,"cell_total":11,"field_total":12,"seniorities":13,"topics":17,"specs":94,"samples":105},"data-engineer","Data Engineer","","wh-snowflake-compute-warehouses","Wh Snowflake Compute Warehouses","tr",75,1950,[14,15,16],"junior","mid","senior",[18,21,24,27,30,33,36,39,42,45,48,51,54,57,60,63,66,69,72,75,78,81,84,87,90,91],{"key":19,"name":20,"count":11},"data-governance-lineage","Data Governance Lineage",{"key":22,"name":23,"count":11},"data-modeling-warehousing","Data Modeling Warehousing",{"key":25,"name":26,"count":11},"data-partitioning-scaling","Data Partitioning Scaling",{"key":28,"name":29,"count":11},"data-pipeline-design","Data Pipeline Design",{"key":31,"name":32,"count":11},"data-pipeline-orchestration","Data Pipeline Orchestration",{"key":34,"name":35,"count":11},"data-pipeline-reliability","Data Pipeline Reliability",{"key":37,"name":38,"count":11},"data-quality-validation","Data Quality Validation",{"key":40,"name":41,"count":11},"pe-airflow-scheduling-dependencies","Pe Airflow Scheduling Dependencies",{"key":43,"name":44,"count":11},"pe-dbt-models-materializations-tests","Pe Dbt Models Materializations Tests",{"key":46,"name":47,"count":11},"pe-file-formats-table-formats","Pe File Formats Table Formats",{"key":49,"name":50,"count":11},"pe-incremental-cdc-merge-mechanics","Pe Incremental Cdc Merge Mechanics",{"key":52,"name":53,"count":11},"pe-spark-api-semantics-udfs","Pe Spark Api Semantics Udfs",{"key":55,"name":56,"count":11},"pe-spark-execution-shuffle-partitions","Pe Spark Execution Shuffle Partitions",{"key":58,"name":59,"count":11},"st-flink-runtime-checkpointing-state","St Flink Runtime Checkpointing State",{"key":61,"name":62,"count":11},"st-flink-time-watermarks-windows","St Flink Time Watermarks Windows",{"key":64,"name":65,"count":11},"st-kafka-broker-storage-replication","St Kafka Broker Storage Replication",{"key":67,"name":68,"count":11},"st-kafka-connect-schema-registry","St Kafka Connect Schema Registry",{"key":70,"name":71,"count":11},"st-kafka-producer-consumer-semantics","St Kafka Producer Consumer Semantics",{"key":73,"name":74,"count":11},"streaming-fundamentals","Streaming Fundamentals",{"key":76,"name":77,"count":11},"st-streaming-joins-tables","St Streaming Joins Tables",{"key":79,"name":80,"count":11},"wh-bigquery-execution-slots-cost","Wh Bigquery Execution Slots Cost",{"key":82,"name":83,"count":11},"wh-bigquery-storage-partitioning-clustering","Wh Bigquery Storage Partitioning Clustering",{"key":85,"name":86,"count":11},"wh-materialized-views-caching","Wh Materialized Views Caching",{"key":88,"name":89,"count":11},"wh-redshift-distribution-sort-vacuum","Wh Redshift Distribution Sort Vacuum",{"key":8,"name":9,"count":11},{"key":92,"name":93,"count":11},"wh-snowflake-storage-micropartitions","Wh Snowflake Storage Micropartitions",[95,99,102],{"key":96,"name":97,"count":98},"pipelines-etl","Pipelines \u002F ETL",450,{"key":100,"name":101,"count":98},"streaming","Streaming",{"key":103,"name":104,"count":98},"warehousing","Warehousing",[106,124,137,151,165,178],{"id":107,"topic":9,"difficulty":108,"body":109,"options":110,"correct_key":115,"explanation":123},"01a00fd5-7d69-71fd-b067-567c3aac9ac4",1,"Snowflake mimarisinde virtual warehouse nedir?",[111,114,117,120],{"key":112,"text":113},"a","Ham tablo dosyalarını tutan fiziksel bir şema",{"key":115,"text":116},"b","Depolamadan ayrı, bir compute kaynakları kümesi",{"key":118,"text":119},"c","Kullanıcı rollerini gruplayan mantıksal bir alan",{"key":121,"text":122},"d","Veri replikasyonu yapan bir arka plan servisi","Snowflake depolama ve compute'u birbirinden ayırır. Virtual warehouse, Snowflake'in ortak depolama katmanındaki veriler üzerinde sorgu ve DML çalıştıran bir compute kümesidir (CPU, bellek, geçici disk).",{"id":125,"topic":9,"difficulty":108,"body":126,"options":127,"correct_key":118,"explanation":136},"01a00fd5-7d6b-7e80-bfc7-a8c436df5010","Snowflake warehouse boyutları bir merdiven oluşturur (X-Small, Small, Medium, Large, X-Large...). Bir kademe yukarı çıktığınızda kredi oranına ne olur?",[128,130,132,134],{"key":112,"text":129},"Tamamen aynı kalır",{"key":115,"text":131},"Sabit, düz bir miktar artar",{"key":118,"text":133},"Bir alttaki kademeye göre kabaca ikiye katlanır",{"key":121,"text":135},"Büyük daha verimli olduğu için azalır","Her Snowflake warehouse boyut kademesi, bir alttaki kademeye göre compute kaynağını kabaca iki katına çıkarır — dolayısıyla saatlik kredi tüketim hızı da kabaca iki katına çıkar.",{"id":138,"topic":9,"difficulty":139,"body":140,"options":141,"correct_key":112,"explanation":150},"01a00fd5-7d6c-7e7b-815b-eb4923de3fdf",2,"Boşta duran bir warehouse üzerinde tek başına çalışan karmaşık bir sorgu yavaş çalışıyor (rekabet eden başka sorgu yok). Bu tek, karmaşık sorguyu hangi kontrol hızlandırır?",[142,144,146,148],{"key":112,"text":143},"Warehouse'u daha büyük bir boyuta getirmek",{"key":115,"text":145},"İkinci cluster için MAX_CLUSTER_COUNT'u yükseltmek",{"key":118,"text":147},"AUTO_SUSPEND'i düşürmek",{"key":121,"text":149},"Daha yüksek kotalı bir resource monitor atamak","Warehouse'u büyütmek (scale up) çalışan her cluster'a daha fazla compute kaynağı ekler; tek ve karmaşık bir sorguyu hızlandırmak için tasarlanmış kontrol budur. Multi-cluster ayarları ise eşzamanlılığı, tek sorgu hızını değil hedefler.",{"id":152,"topic":9,"difficulty":153,"body":154,"options":155,"correct_key":121,"explanation":164},"01a00fd5-7d6e-71b3-a82f-eb60c3e2c91b",3,"Bir dashboard, zaten hızlı olan küçük lookup sorguları çalıştırıyor. Bir ekip büyük bir artış bekleyerek warehouse'u Small'dan X-Large'a büyütüyor. En olası sonuç nedir?",[156,158,160,162],{"key":112,"text":157},"Her sorgu orantılı şekilde hızlanır",{"key":115,"text":159},"Sorgular artık hiç faturalandırılmaz",{"key":118,"text":161},"Sadece büyütmeden sonraki ilk sorgu hızlanır",{"key":121,"text":163},"Fark edilir bir hızlanma olmaz","Büyük warehouse'lar esas olarak compute veya bellek sınırlı sorgulara (karmaşık join, aggregation, büyük tarama) yarar. Zaten hızlı olan küçük sorgularda kazanılacak pek bir şey yoktur; bu yüzden büyütme genelde orantılı bir hız kazancı olmadan sadece kredi oranını yükseltir.",{"id":166,"topic":9,"difficulty":108,"body":167,"options":168,"correct_key":115,"explanation":177},"01a00fd5-7d73-71f8-9251-3b9f327e0249","AUTO_SUSPEND warehouse özelliği neyi kontrol eder?",[169,171,173,175],{"key":112,"text":170},"Kaç eşzamanlı cluster'ın başlayabileceğini",{"key":115,"text":172},"Otomatik askıya almadan önceki boşta-saniyeyi",{"key":118,"text":174},"Maksimum paralel sorgu sayısını",{"key":121,"text":176},"Sorgu sürerken boyutlandırmaya izin verilip verilmediğini","AUTO_SUSPEND, Snowflake'in warehouse'u otomatik olarak askıya almadan önce beklediği hareketsizlik süresini saniye cinsinden belirtir; bu, compute süresi için kredi tüketimini durdurur.",{"id":179,"topic":9,"difficulty":108,"body":180,"options":181,"correct_key":118,"explanation":190},"01a00fd5-7d75-7b25-9c95-6a563c2c1b6e","AUTO_RESUME warehouse özelliği neyi kontrol eder?",[182,184,186,188],{"key":112,"text":183},"Yük altında boyutun otomatik artıp artmayacağını",{"key":115,"text":185},"Askıya alınmış warehouse'ların silinip silinmeyeceğini",{"key":118,"text":187},"Yeni bir statement'ın warehouse'u otomatik başlatıp başlatmayacağını",{"key":121,"text":189},"Resume sonrası sonuçların otomatik cache'lenip cache'lenmeyeceğini","AUTO_RESUME, askıya alınmış bir warehouse'a ihtiyaç duyan bir SQL statement gönderildiğinde, manuel resume gerektirmeden Snowflake'in warehouse'u otomatik olarak yeniden başlatıp başlatmayacağını 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